Writing.io Jobs

ABOUT THE ROLE:

Accela is looking for an HR Technology & Analytics Specialist to provide hands-on support across HR systems, reporting, process improvement, AI-enabled efficiency, and data/document management. Reporting to the Principal, AI Enablement & HR Analytics, this role will support key HR technology projects and help maintain recurring reporting and HR systems activities during a temporary leave period. The ideal candidate is detail-oriented, comfortable working independently across multiple HR systems, and able to leverage technology and AI tools to simplify work and improve process efficiency.

This is a 6-8 month contract position.

SPECIFIC RESPONSIBILITIES:

•    Support Greenhouse and ADP reporting, system administration, and process improvements, including opportunities to automate or streamline existing workflows.

•    Run recurring and ad hoc reports from Greenhouse, ADP, and other HR systems and validate data for accuracy.

•    Leverage approved AI and automation tools to improve process efficiency, reporting, documentation, and recurring HR workflows.

•    Identify manual or repetitive processes and recommend practical opportunities for automation or AI-enabled improvement.

•    Update and reorganize HR SharePoint sites to improve content, structure, and usability.

•    Support migration of HR files and folders from Box to OneDrive/SharePoint, including file organization and validation.

•    Conduct audits of employee files and identify missing, incomplete, duplicate, or incorrectly stored documentation.

•    Maintain existing HR reports, dashboards, trackers, and recurring processes.

•    Troubleshoot routine HR system or data issues and document key processes to support continuity.

•    Partner with HR, Recruiting, IT, Finance, and other teams as needed.

REQUIRED QUALIFICATIONS:

•    3+ years of experience in HR technology, HRIS, HR analytics/reporting, or a related HR function.

•    Experience with HRIS and/or applicant tracking systems; ADP and Greenhouse experience preferred.

•    Strong Excel, reporting, and data-validation skills.

•    Demonstrated proficiency using generative AI and productivity tools to improve efficiency, analyze information, create documentation, or streamline workflows.

•    Ability to use AI tools responsibly when working with confidential or sensitive information.

•    Experience with process improvement, workflow automation, or HR system enhancements.

•    Experience with SharePoint, OneDrive, Box, or similar document-management tools preferred.

•    Strong organizational, problem-solving, and documentation skills.

•    Ability to independently manage multiple assignments and work effectively in a fast-paced environment.

ABOUT ACCELA

For nearly 20 years, Accela has been an industry leader in designing and delivering government software to improve efficiency, increase citizen engagement and enable the development of thriving communities. Today, citizens are savvy to how services should be delivered, and expect a consistently convenient, openly transparent view into their local government. While government agencies struggle to do more with less, our mission has never been more critical. Accela provides a robust, cloud-based platform of government software solutions that accelerate growth, efficiency, and transparency in communities of all sizes. From planning, to building, to service request management and more, Accela’s SaaS offerings level the playing field for small and medium governments and enable smaller agencies to leverage larger city technologies. Our open and flexible technology helps agencies address specific needs today, while ensuring they are well prepared for the emerging challenges of the future.

OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION

Accela believes in developing and nurturing a workplace community where our differences are celebrated, and everyone feels a sense of psychological safety and belonging. Accela is committed to putting resources and attention towards evolving our practices, policies, and philosophies to enable diversity to thrive and to support equity in opportunity for everyone.

COMPENSATION AND WELL-BEING

The hourly pay range for this full-time position is $50.00/hour to $55.00/hour(less applicable taxes). The actual pay offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

Accela is an Equal Opportunity Employer/Affirmative Action Employer and will respond to requests for job accommodations.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or based on disability, gender identity, and sexual orientation

#LI-Remote

Headquarters:

📌 Summary

We are seeking a hands-on, execution-focused Senior Automation & AI Systems Developer (UiPath & Power Platform) to build, scale, and maintain enterprise automations across our client's regional operations. In this role, you will own the end-to-end development lifecycle for production-grade bots on a mature estate, while actively expanding into cutting-edge AI-assisted and agentic automation patterns.

This position balances rigorous build and production support work on a high-volume platform with a genuine, applied pathway into modern AI engineering. Working across UiPath, Microsoft Power Platform, Anthropic Claude, and REST APIs, you will build complex bot architectures, integrate language models, and construct resilient, multi-system workflows.

🏢 General Information (About the Client)

Our client operates a mature, enterprise-scale Center of Excellence (CoE) running a robust production estate—executing over 19,000 monthly jobs across 125+ unattended production robots and 200+ active automations.

Operating within a modern tech environment utilizing UiPath, Power Platform, Anthropic Claude, ServiceNow, Bitbucket, and Azure DevOps, they are actively advancing from traditional UI-level RPA into agentic automation patterns. They foster a disciplined, engineering-first culture that prioritizes reusable code libraries, structured exception handling, robust CI/CD practices, and strict compliance-ready documentation.

Tasks and Deliverables

Production Automation Development: Design, develop, test, and deploy resilient, production-grade automations primarily on UiPath across core business lines.

Complex Architecture Engineering: Build and maintain advanced bot architectures incorporating multi-system integrations, structured exception handling, retry logic, and automated recovery patterns.

AI & Agentic Service Composition: Integrate AI capabilities directly into automation workflows, utilizing Anthropic Claude, Document Understanding, classification models, and structured LLM prompts.

Power Platform Back-End Integration: Construct and support modern user interfaces using Power Apps / Power Automate backed by robust UiPath and API execution engines.

API & Scripting Extensions: Extend automation capabilities beyond basic UI automation by writing custom Python, PowerShell, REST API, and webhook integrations.

Production Support & Incident Triage: Troubleshoot and resolve production bot failures with minimal downtime, managing queues, analyzing logs, and working closely with architects.

Code Quality & Governance: Contribute to reusable component libraries, conduct peer code reviews against team standards, and maintain audit-ready technical documentation.

Required Experience

UiPath Engineering Seniority: 3+ years of dedicated, hands-on RPA development experience with UiPath as your primary platform.

Production-Grade Bot Experience: Proven track record building and supporting automations running live in production—demonstrating deep mastery of exception handling, logging, error recovery, and multi-system integration (training exercises/POCs do not qualify).

Database & SQL Proficiency: Practical experience writing SQL queries for data manipulation, extraction, and validation within automated pipelines.

Active UiPath Certification: Hold a current, active UiPath developer credential (e.g., Automation Developer Professional, Automation Developer Associate, Specialized AI Professional, or valid Advanced RPA Developer / UiARD).

Agile Delivery Practice: Demonstrated experience delivering software within an Agile framework (daily standups, sprint planning, retrospectives, backlog grooming).

Preferred Qualifications (Plus):

Practical Python or PowerShell scripting for advanced orchestration, data manipulation, and custom API connections.

Experience with Microsoft Power Platform (Power Apps, Power Automate), REST APIs, webhooks, or AI-assisted development tools (UiPath Autopilot, GitHub Copilot, Anthropic Claude).

Exposure to agentic automation patterns, Intelligent Document Processing (IDP), process/task mining, or secondary RPA platforms (Automation Anywhere).

Familiarity with Git, CI/CD pipelines, Azure DevOps/Jira, and enterprise systems (Microsoft Dynamics 365, Workday, Salesforce, Vertafore, or Oracle Fusion).

To apply: https://weworkremotely.com/remote-jobs/toptal-automation-engineer-uipath-for-innovative-ai-project

About BJAKThe original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money.

Who We Are

🏔Product: TLDR’s mission is to increase tech’s signal-to-noise ratio.

Today that means the largest network of tech newsletters in the world, with over 8M subscribers covering startups, software engineering, AI, cybersecurity, product, and more. What makes it work is who writes it. Every issue comes from people building in tech, not reporters covering it. Our writers keep their day jobs: two engineers at Coinbase write TLDR Crypto, engineers at DeepMind and Meta write TLDR Dev, researchers at Anthropic and Adobe write TLDR AI, and robotics and datacenter strategy leads at OpenAI and Meta write TLDR Hardware.

If it matters in tech, it’s in TLDR. That’s what makes TLDR the best place to find what you need to learn.

💪Team: Our 31-person full-time team includes alumni of TikTok, Reddit, Amazon, Business Insider, Asana, Morning Brew, and Pinterest. We’ve stayed intentionally small, which means every person here owns a function rather than a slice of one.

📈Traction: We’re bootstrapped, profitable, and on track for $35M in revenue this year - after $9M in 2024 and $20M in 2025. The advertisers who fund it want tech’s decision-makers: AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.

About the Role

TLDR’s Applied AI program runs on one thesis: every process at the company should get better automatically as model capabilities improve. An LLM sits in the loop on every workflow, and the work of the people around it shifts from clicking and typing toward writing specs and evals and deciding what good looks like.

In this role, you will:

• Own the build out of new agents, skills, and platform capability for teams across TLDR.

• Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.

• Write the evals and specs that define what good looks like, so workflow quality is measurable rather than anecdotal.

• Partner with our Applied AI PM on what to build, and make the smaller product calls independently.

• Work directly with stakeholders in sales, revenue ops, editorial, and people ops to find where an LLM belongs in their process.

What Success Looks Like

• Every workflow at the company improves as model capabilities improve.

• Teams write specs and evals and define what good looks like, rather than executing manually, and their processes improve as models improve without anyone rebuilding them.

• Work becomes increasingly push vs pull, by default work is done by LLMs and humans are brought in as needed.

About You

• 5+ years experience including 2+ years building products and systems with LLMs, with at least one agent you took to production and still own.

• You code fluently with AI tools like Claude Code or Codex.

• You write evals as part of building, not after. You can say how you defined good, what you measured, and what you changed as a result.

You’ll Thrive Here If…

• You ship end to end and don’t wait for someone to spec the small stuff.

• You have product judgment: you can say what you chose not to build, and why.

• You’re comfortable in a domain where settled practice doesn’t exist yet.

• You can sit with non-engineering stakeholders and find where an LLM belongs in their process.

• The way you build has changed as models have gotten better, and you treat capability improvement as a design input.

• You want surface area across nearly every function of a profitable, bootstrapped company, with no legacy systems to fight, direct CEO access, and an unlimited token budget.

Why You’ll Love It

🤑 Compensation:

• Base compensation: $250,000 - $300,000

• Annual company performance bonus: $25,000 - $60,000

🌎 Location: We’re 100% remote across the US and Canada. Work where you want - our bands are set to tier-1 city rates wherever you live.

🤝 Team Events: Biannual team offsites. Most recently we’ve gone to New Orleans, San Diego and Park City!

🏝️ Time to Recharge: Flexible PTO. Most of the team takes 2–3 weeks a year, plus holidays.

🏥 Health Benefits: Comprehensive medical, dental and vision benefits with a 100% paid option

📈 401(k) Plan: Empower 401(k)

🍼 Paid Parental Leave

💻Home Office Stipend: Whatever makes you productive - standing desk, second monitor, chair, walking pad.

🔰 Learning & Development Stipend: For anything that makes you better at your work, and for AI tools especially. Don’t ration your tokens.

📥 If you’re ready to make a real dent at a bootstrapped, profitable company, apply. Tell us if you need any accommodation at any point in the process.

Press and Publications

• Inc story on how TLDR was founded

• Pricing and demographic information in TLDR’s latest media kit

Realize your potential by joining the leading performance-driven advertising company!

As a Technical Support Engineer on the team in our Budapest office you are the technical owner of OEM and publisher partner relationships from a support perspective. You investigate revenue and inventory anomalies, debug ad-serving and tracking issues, triage feed-ingestion and content-categorization problems, and partner with R&D to root-cause and fix issues spanning product, infrastructure and algorithmic layers.

This is a deeply technical, high-ownership, AI-forward role. The team runs a production portfolio of internal AI tooling — RCA agents, investigation apps and monitoring automation deployed on an internal platform — that has cut investigation times on several workflows from hours to minutes. You will use that tool kit, extend it, and build new pieces of it. Expect to write SQL, Kusto and BigQuery, read code, navigate distributed systems, communicate clearly with R&D and business partners, and use AI tooling fluently as a force multiplier for all of the above.

To thrive in this role, you’ll need:

• Strong SQL. Comfortable with complex multi-join queries, CTEs and window functions against large analytical datasets.
• Experience in technical support, technical operations or production engineering on a complex distributed system.
• Able to read code well enough to trace logic and locate issues.
• Strong written and verbal English; able to communicate technical findings to engineers and business stakeholders alike.
• Investigative mindset — you enjoy converging on the root cause from an ambiguous problem report.
• AI fluency. Daily use of AI coding assistants and LLM tooling for code, queries, log analysis, summarisation and small automations. Willing to build internal tools rather than wait for them.

Bonus points if you have:

• Hands-on experience building agents, MCPs or AI-assisted automations, beyond using off-the-shelf assistants.
• Ad-serving systems experience (DFP/GAM, programmatic, fallback paths, attribution, tracking).
• RSS feed-ingestion pipeline experience.
• Production monitoring and on-call experience (alerts, dashboards, incident response).

How you’ll make an impact:

• Investigate publisher-side and OEM-partner technical issues end to end: revenue drops, inventory imbalances, tracking gaps, ad-serving fallback issues, content categorization errors, feed ingestion problems.
• Write and refine SQL (MySQL, Vertica), KQL (Kusto), and BQ (BigQuery) against production data sources. Use Grafana, Kibana, Tableau, and internal tooling to monitor and drill into anomalies.
• Build, tune and own production alerts for the surfaces you cover.
• Share PagerDuty on-call and production-incident response for Taboola News.
• Operate and extend the team’s AI tooling portfolio — RCA agents, investigation apps, monitoring automation — and take ownership of stalled initiatives with existing internal demand.
• Partner with R&D and Product: triage what needs engineering involvement, frame the technical question, follow through to resolution.
• Build internal tooling and runbooks with AI assistance; document recurring investigation patterns.
• Identify systemic patterns across tickets and feed them back into product or platform improvements.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

By submitting your application/CV, any personal information you provide will be subject to Taboola’s Candidates Data Policy. Please review our policy carefully before submitting any of your personal information. You may contact us at privacy@taboola.com with any questions about how we collect or use your personal information, or your applicable rights.

#LI-SRM1

#LI-Hybrid

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Salesforce Architect focused on Agentforce, you will be responsible for building compelling Agentforce-powered experiences for users and delivering impactful business value to our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI team to delight customers. This position is focused on architecting and executing technical solutions for Agentforce and related-technologies.

You will have the opportunity to:

• Deep dive into the limits and boundaries of Agentforce Agents, finding novel solutions to drive business outcomes.
• Collaborate with customers, Project Managers, Solution Architects, Developers and UX Designers to translate business needs into well-architected solutions
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment
• Follow and understand new Salesforce products and technical capabilities
• Lead and own complete project technical solution design, including designing and understanding agentic topics, instructions, actions with corresponding automation/code, agent deployment methods, and supporting data structures
• Explore the limits and push the boundaries of automated Agents, finding novel solutions to drive business outcomes
• Establish best practices for ingesting data into Salesforce at scale to be leveraged by agentic solutions
• Contribute to reusable assets to accelerate the team’s ability to deliver and improve delivery quality and consistency
• Follow and understand new product features and technical capabilities, across Salesforce, Anthropic Claude, and other platforms

Required Qualifications:

• 6+ years of experience in application and software development
• 4+ years of experience with Salesforce in a development role
• Bachelor’s or Master’s degree in Computer Science or a related field
• Proficiency in Apex and JavaScript, with exposure or working knowledge of modern coding languages (e.g. Python, Java, C#)
• Experience developing Salesforce technologies including Flows, Lightning Web Components, or Visualforce
• Understanding of front-end web development principles and technologies (HTML/CSS)
• Strong communication skills; the ability to convey complex technical details to all audiences
• Experience with using source control and branching/pull requests strategies
• Familiarity with CI/CD solutions and DevOps principles

Preferred Skills:

• Experience working with Agentic AI Systems and Generative AI capabilities
• Any additional Salesforce certifications are a plus, preferably Platform Developer II or Agentforce Specialist certifications

What can you expect in the interview process?

• Recruiter screen (phone) - 30 minutes

  • Introductory conversation to discuss the role and your experience

• Panel Interview with Real-Time Exercise (Video) - 60 minutes

  • You’ll receive a prompt and talk through potential solution options and live on the spot (no offline preparation required)

  • You’ll get some time to interact with NeuraFlash, Part of Accenture delivery team members

  • The call will be split into two parts:

• Organization lead interview (Video) - 45 minutes

  • You’ll talk through your career goals and relevant work examples
  • You’ll discuss challenges you have overcome and the tools you used to get there

• Leadership interview (Video) - 45 minutes

  • You’ll meet with a member of our leadership team

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 09/17/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 - $266,300 USD

Cleveland Annual Salary Range

$87,400 - $213,000 USD

Colorado Annual Salary Range

$94,400 - $230,000 USD

District of Columbia Annual Salary Range

$100,500 - $245,000 USD

Illinois Annual Salary Range

$87,400 - $230,000 USD

Maryland Annual Salary Range

$94,400 - $230,000 USD

Massachusetts Annual Salary Range

$94,400 - $245,000 USD

Minnesota Annual Salary Range

$94,400 - $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 - $266,300 USD

Washington Annual Salary Range

$100,500 - $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

As a Salesforce Technical Architect focused on Agentforce and AI, you will be responsible for building compelling Agentforce-powered experiences for users and delivering impactful business value to our clients. You’ll have the opportunity to make significant contributions to our success by working with the rest of our talented AI team to delight customers. This position is focused on architecting and executing technical solutions for Agentforce and related-technologies.

You will have the opportunity to:

• Deep dive into the limits and boundaries of Agentforce Agents, finding novel solutions to drive business outcomes.
• Collaborate with customers, Project Managers, Solution Architects, Developers and UX Designers to translate business needs into well-architected solutions
• Oversee and contribute to all stages of the project lifecycle—from initial design through development, testing, and final deployment
• Follow and understand new Salesforce products and technical capabilities
• Lead and own complete project technical solution design, including designing and understanding agentic topics, instructions, actions with corresponding automation/code, agent deployment methods, and supporting data structures
• Explore the limits and push the boundaries of automated Agents, finding novel solutions to drive business outcomes
• Establish best practices for ingesting data into Salesforce at scale to be leveraged by agentic solutions
• Contribute to reusable assets to accelerate the team’s ability to deliver and improve delivery quality and consistency
• Follow and understand new product features and technical capabilities, across Salesforce, Anthropic Claude, and other platforms

Required Qualifications:

• 6+ years of experience in application and software development
• 4+ years of experience with Salesforce in a development role
• Bachelor’s or Master’s degree in Computer Science or a related field
• Proficiency in Apex and JavaScript, with exposure or working knowledge of modern coding languages (e.g. Python, Java, C#)
• Experience developing Salesforce technologies including Flows, Lightning Web Components, or Visualforce
• Understanding of front-end web development principles and technologies (HTML/CSS)
• Strong communication skills; the ability to convey complex technical details to all audiences
• Experience with using source control and branching/pull requests strategies
• Familiarity with CI/CD solutions and DevOps principles

Preferred Skills:

• Experience working with Agentic AI Systems and Generative AI capabilities
• Any additional Salesforce certifications are a plus, preferably Platform Developer II or Agentforce Specialist certifications

What can you expect in the interview process?

• Recruiter screen (phone) - 30 minutes

  • Introductory conversation to discuss the role and your experience

• Panel Interview with Real-Time Exercise (Video) - 60 minutes

  • The call will be split into two parts:
    • You’ll receive a prompt and talk through potential solution options and live on the spot (no offline preparation required)
    • You’ll get some time to interact with NeuraFlash, Part of Accenture delivery team members

• Organization lead interview (Video) - 45 minutes

  • You’ll talk through your career goals and relevant work examples
  • You’ll discuss challenges you have overcome and the tools you used to get there

• Leadership interview (Video) - 45 minutes

  • You’ll meet with a member of our leadership team

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

Who We Are

🏔Product: TLDR’s mission is to increase tech’s signal-to-noise ratio.

Today that means the largest network of tech newsletters in the world, with over 8M subscribers covering startups, software engineering, AI, cybersecurity, product, and more. What makes it work is who writes it. Every issue comes from people building in tech, not reporters covering it. Our writers keep their day jobs: two engineers at Coinbase write TLDR Crypto, engineers at DeepMind and Meta write TLDR Dev, researchers at Anthropic and Adobe write TLDR AI, and robotics and datacenter strategy leads at OpenAI and Meta write TLDR Hardware.

If it matters in tech, it’s in TLDR. That’s what makes TLDR the best place to find what you need to learn.

💪Team: Our 31-person full-time team includes alumni of TikTok, Reddit, Amazon, Business Insider, Asana, Morning Brew, and Pinterest. We’ve stayed intentionally small, which means every person here owns a function rather than a slice of one.

📈Traction: We’re bootstrapped, profitable, and on track for $35M in revenue this year - after $9M in 2024 and $20M in 2025. The advertisers who fund it want tech’s decision-makers: AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.

About the Role

TLDR’s Applied AI program runs on one thesis: every process at the company should get better automatically as model capabilities improve. An LLM sits in the loop on every workflow, and the work of the people around it shifts from clicking and typing toward writing specs and evals and deciding what good looks like.

In this role, you will:

• Own the build out of new agents, skills, and platform capability for teams across TLDR.

• Build and deploy agents end to end, from design through implementation, evals, and rollout to internal users.

• Write the evals and specs that define what good looks like, so workflow quality is measurable rather than anecdotal.

• Partner with our Applied AI PM on what to build, and make the smaller product calls independently.

• Work directly with stakeholders in sales, revenue ops, editorial, and people ops to find where an LLM belongs in their process.

What Success Looks Like

• Every workflow at the company improves as model capabilities improve.

• Teams write specs and evals and define what good looks like, rather than executing manually, and their processes improve as models improve without anyone rebuilding them.

• Work becomes increasingly push vs pull, by default work is done by LLMs and humans are brought in as needed.

About You

• 5+ years experience including 2+ years building products and systems with LLMs, with at least one agent you took to production and still own.

• You code fluently with AI tools like Claude Code or Codex.

• You write evals as part of building, not after. You can say how you defined good, what you measured, and what you changed as a result.

You’ll Thrive Here If…

• You ship end to end and don’t wait for someone to spec the small stuff.

• You have product judgment: you can say what you chose not to build, and why.

• You’re comfortable in a domain where settled practice doesn’t exist yet.

• You can sit with non-engineering stakeholders and find where an LLM belongs in their process.

• The way you build has changed as models have gotten better, and you treat capability improvement as a design input.

• You want surface area across nearly every function of a profitable, bootstrapped company, with no legacy systems to fight, direct CEO access, and an unlimited token budget.

Why You’ll Love It

🤑 Compensation:

• Base compensation: $250,000 - $300,000

• Annual company performance bonus: $25,000 - $60,000

🌎 Location: We’re 100% remote across the US and Canada. Work where you want - our bands are set to tier-1 city rates wherever you live.

🤝 Team Events: Biannual team offsites. Most recently we’ve gone to New Orleans, San Diego and Park City!

🏝️ Time to Recharge: Flexible PTO. Most of the team takes 2–3 weeks a year, plus holidays.

🏥 Health Benefits: Comprehensive medical, dental and vision benefits with a 100% paid option

📈 401(k) Plan: Empower 401(k)

🍼 Paid Parental Leave

💻Home Office Stipend: Whatever makes you productive - standing desk, second monitor, chair, walking pad.

🔰 Learning & Development Stipend: For anything that makes you better at your work, and for AI tools especially. Don’t ration your tokens.

📥 If you’re ready to make a real dent at a bootstrapped, profitable company, apply. Tell us if you need any accommodation at any point in the process.

Press and Publications

• Inc story on how TLDR was founded

• Pricing and demographic information in TLDR’s latest media kit

Realize your potential by joining the leading performance-driven advertising company!

As a Technical Support Engineer on the team in our Budapest office you are the technical owner of OEM and publisher partner relationships from a support perspective. You investigate revenue and inventory anomalies, debug ad-serving and tracking issues, triage feed-ingestion and content-categorization problems, and partner with R&D to root-cause and fix issues spanning product, infrastructure and algorithmic layers.

This is a deeply technical, high-ownership, AI-forward role. The team runs a production portfolio of internal AI tooling — RCA agents, investigation apps and monitoring automation deployed on an internal platform — that has cut investigation times on several workflows from hours to minutes. You will use that tool kit, extend it, and build new pieces of it. Expect to write SQL, Kusto and BigQuery, read code, navigate distributed systems, communicate clearly with R&D and business partners, and use AI tooling fluently as a force multiplier for all of the above.

To thrive in this role, you’ll need:

• Strong SQL. Comfortable with complex multi-join queries, CTEs and window functions against large analytical datasets.
• Experience in technical support, technical operations or production engineering on a complex distributed system.
• Able to read code well enough to trace logic and locate issues.
• Strong written and verbal English; able to communicate technical findings to engineers and business stakeholders alike.
• Investigative mindset — you enjoy converging on the root cause from an ambiguous problem report.
• AI fluency. Daily use of AI coding assistants and LLM tooling for code, queries, log analysis, summarisation and small automations. Willing to build internal tools rather than wait for them.

Bonus points if you have:

• Hands-on experience building agents, MCPs or AI-assisted automations, beyond using off-the-shelf assistants.
• Ad-serving systems experience (DFP/GAM, programmatic, fallback paths, attribution, tracking).
• RSS feed-ingestion pipeline experience.
• Production monitoring and on-call experience (alerts, dashboards, incident response).

How you’ll make an impact:

• Investigate publisher-side and OEM-partner technical issues end to end: revenue drops, inventory imbalances, tracking gaps, ad-serving fallback issues, content categorization errors, feed ingestion problems.
• Write and refine SQL (MySQL, Vertica), KQL (Kusto), and BQ (BigQuery) against production data sources. Use Grafana, Kibana, Tableau, and internal tooling to monitor and drill into anomalies.
• Build, tune and own production alerts for the surfaces you cover.
• Share PagerDuty on-call and production-incident response for Taboola News.
• Operate and extend the team’s AI tooling portfolio — RCA agents, investigation apps, monitoring automation — and take ownership of stalled initiatives with existing internal demand.
• Partner with R&D and Product: triage what needs engineering involvement, frame the technical question, follow through to resolution.
• Build internal tooling and runbooks with AI assistance; document recurring investigation patterns.
• Identify systemic patterns across tickets and feed them back into product or platform improvements.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

By submitting your application/CV, any personal information you provide will be subject to Taboola’s Candidates Data Policy. Please review our policy carefully before submitting any of your personal information. You may contact us at privacy@taboola.com with any questions about how we collect or use your personal information, or your applicable rights.

#LI-SRM1

#LI-Hybrid

Director of AI/ML In Brief We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives....

Headquarters: Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote)

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal or The Netherlands

About the team

Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.

AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.

The opportunity now is to turn that energy into something more systematic.That's where you come in.

About the role

We're looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.

This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You'll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.

One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly.

You'll own the connective layer between AI strategy and day-to-day execution across R&D.

This isn't a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We're looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through.

You'll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform.

What you'll do

• Build and continuously improve our backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence the jobs where AI can have the greatest impact.
• Take ambiguous problems from initial discovery through to delivery: understand the user and workflow, explore options and trade-offs, design the right system, build or coordinate implementation, test, document, launch, measure, and improve.
• Design simple, AI-native solutions that fit naturally into how people work. You'll know when a prompt is enough—and when the problem calls for a workflow, integration, agent, database, or custom application.
• Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on areas including access, configuration, connectors, enablement, and support.
• Own the lifecycle of the AI systems within your portfolio, including automations, skills, agents, and internal web applications.
• Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance—using evidence and feedback to improve systems over time.
• Partner with teams across R&D to uncover needs, unblock delivery, clarify ownership, and bring the right experts into the work.
• Help run and evolve our R&D AI governance and enablement practices, giving leaders better visibility into active work, risks, adoption, and outcomes.
• Participate in Typeform's broader AI governance efforts as an R&D contributor.
• Work with Finance and other partners to improve visibility into AI tool usage, spend, and value, helping inform investment decisions.
• Explore and support the development of autonomous agents that can improve how we plan, discover, design, build, evaluate, and manage work across the product development lifecycle.
  
  

What you'll bring

• Strong practical experience applying AI to real-world problems—not just experimenting with models, but building solutions that people actually use.
• A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement.
• Excellent systems thinking. You can understand how people, processes, tools, data flows, integrations, permissions, and technical constraints fit together—and make thoughtful trade-offs between different approaches.
• Strong user and workflow discovery skills. You know how to get beyond the initial request, understand the real job to be done, and simplify a solution when the original approach is more complex than it needs to be.
• Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications.
• Practical experience with modern development practices and tools such as GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting.
• Experience managing work independently: prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating clearly with stakeholders.
• A strong approach to evaluation and reliability. You think about what "good" looks like, how to test for it, how to collect feedback, and how to improve a system after it goes live.
• The ability to work effectively across technical and non-technical teams. You're comfortable asking questions, challenging assumptions, seeking expert input, and making progress without needing close day-to-day direction.
• Good judgment around responsible AI, security, access, and governance, and an understanding of when to bring in the right partners.
  
  

 

*Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

To apply: https://weworkremotely.com/remote-jobs/typeform-ai-product-operations-lead

Company Description

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Job Description

So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?

Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.

This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.

Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.

As the AI Team Lead, you will:

• Serve as the primary AI and ML advisor to key enterprise clients, understanding their business challenges and translating them into AI- and ML-powered solutions that deliver measurable value.
• Lead and grow a team of AI/ML Engineers, and collaborate with MLOps and DevOps specialists, to design, develop, and optimize ML and GenAI architectures tailored to client-specific use cases and business requirements.
• Manage stakeholder relationships across multiple concurrent projects, including steering committees, progress reporting, and escalation management.
• Architect and oversee end-to-end ML and GenAI pipelines, delivering AI applications for key client transformation projects across the region and international business.
• Mentor and develop team members, identifying skill gaps, and creating individual development plans.
• Lead client workshops, discovery sessions, and technical presentations to shape AI strategy and drive adoption.
• Execute the GenAI, LLM and ML strategy including people, technology, methodologies, platforms, and processes, while fostering a culture of technical excellence, innovation and continuous improvement.

Qualifications

What would make you a fit for the role:

• Bachelor’s or Master’s degree in AI, Data Science, Machine Learning, Computer Science, Engineering, Operational Research or a related field. PhD in Operational Research preferred.
• 6+ years of experience in AI/ML engineering, with a proven track record of delivering AI projects in enterprise/consulting environments from conception to production, with at least 2 years in a people management or practice leadership role.
• Demonstrated experience managing client relationships, leading workshops, and presenting technical solutions to non-technical senior stakeholders (C-level, board members, steering committees).
• Experience leading and developing teams, including hiring, performance management, and career development.
• Strong expertise in Machine Learning and GenAI solutions including open source frameworks, RAG architectures, prompt engineering, LLM models (Claude, GPT, Gemini), and production deployment patterns.
• Solid understanding of MLOps, AI model lifecycle management, Model Context Protocol (MCP), and experience with cloud platforms (AWS, Microsoft Azure, Google Cloud Platform).
• Hands-on experience with open source ML/AI frameworks, agentic AI technologies, prompt engineering, and leading LLM models (Claude, GPT, Gemini, Nvidia AI stack).

It would also be a plus if you match some of the following:

• Experience in consulting, systems integration, or professional services environments.
• Experience with AIOps practices, LLM monitoring frameworks, and AI governance.
• Strong knowledge of ML and GenAI frameworks (e.g. LlamaIndex, LangGraph) and AI evaluation tools.
• Pre-sales or business development experience in AI/data services.

Additional Information

Being a part of the Netcompany team, you will be provided with:

• The opportunity to work in a modern environment & in a hybrid working model
• A seamless onboarding experience and a buddy to support you on your first steps
• A competitive compensation & benefits package
• Health and life insurance program
• Meal and commuting allowance
• Well-being activities (on premises)
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
• A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.

Core Responsibilities

Client Delivery & Execution

• Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks (principles, policies, decision-rights) aligned to client’s industry, regulatory environment, and AI enablement vision
• Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
• Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
• Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
• Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
• Facilitate executive and working sessions to align stakeholders and drive decisions
• Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
• Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
• Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
• Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events

Client Leadership & Account Growth

• Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
• Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
• Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success

Thought Leadership & Practice Development

• Contribute to phData’s AI Governance, Operating Model, and FinOps offerings: methods, templates, accelerators, and client-ready collateral
• Support sales pursuits, webinars, and thought leadership focused on AI governance
• Mentor consultants and senior consultants

Required Qualifications

• 5+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance
• Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes
• Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations
• Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases
• Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001
• Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice
• Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables
• Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences
• Demonstrated ability to influence without authority and build cross-functional consensus
• Bachelor’s degree; ability to travel as required by client commitments

Preferred Qualifications

• Experience standing up AI governance committees, steering committees, or review boards — charters, cadences, and decision-rights
• Hands-on model risk management, responsible AI, or regulated-industry compliance experience (financial services, healthcare, or public sector)
• Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function
• Public thought leadership contributions on AI governance
• Advanced degree or relevant professional certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Company Description

Are you ready to shape the future technological landscape in Europe?

We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Job Description

So, what are the main responsibilities of the AI Team Lead in Netcompany’s Enterprise Solutions?

Joining us as the AI Team Lead, you will own the end-to-end delivery of GenAI, LLM and Machine Learning (ML) solutions for enterprise clients across the public and private sectors. You will act as a trusted advisor to senior client stakeholders, translating complex AI and ML capabilities into tangible business outcomes, while building and leading a high-performing team of AI and ML engineers.

This is a client-facing leadership role. Your ability to navigate complex stakeholder environments, manage expectations, and drive alignment across business and technology teams will be as important as your technical expertise. You will be the primary AI and ML point of contact for key accounts, presenting to C-level executives, leading workshops, and shaping AI and ML adoption roadmaps.

Focus (but not limited to) the design and implementation of advanced GenAI and ML pipelines leading a technical AI project team to deliver end-to-end creative applications that go beyond current tools and ensuring your team delivers scalable, reusable, extensible and flexible solutions.

As the AI Team Lead, you will:

• Serve as the primary AI and ML advisor to key enterprise clients, understanding their business challenges and translating them into AI- and ML-powered solutions that deliver measurable value.
• Lead and grow a team of AI/ML Engineers, and collaborate with MLOps and DevOps specialists, to design, develop, and optimize ML and GenAI architectures tailored to client-specific use cases and business requirements.
• Manage stakeholder relationships across multiple concurrent projects, including steering committees, progress reporting, and escalation management.
• Architect and oversee end-to-end ML and GenAI pipelines, delivering AI applications for key client transformation projects across the region and international business.
• Mentor and develop team members, identifying skill gaps, and creating individual development plans.
• Lead client workshops, discovery sessions, and technical presentations to shape AI strategy and drive adoption.
• Execute the GenAI, LLM and ML strategy including people, technology, methodologies, platforms, and processes, while fostering a culture of technical excellence, innovation and continuous improvement.

Qualifications

What would make you a fit for the role:

• Bachelor’s or Master’s degree in AI, Data Science, Machine Learning, Computer Science, Engineering, Operational Research or a related field. PhD in Operational Research preferred.
• 6+ years of experience in AI/ML engineering, with a proven track record of delivering AI projects in enterprise/consulting environments from conception to production, with at least 2 years in a people management or practice leadership role.
• Demonstrated experience managing client relationships, leading workshops, and presenting technical solutions to non-technical senior stakeholders (C-level, board members, steering committees).
• Experience leading and developing teams, including hiring, performance management, and career development.
• Strong expertise in Machine Learning and GenAI solutions including open source frameworks, RAG architectures, prompt engineering, LLM models (Claude, GPT, Gemini), and production deployment patterns.
• Solid understanding of MLOps, AI model lifecycle management, Model Context Protocol (MCP), and experience with cloud platforms (AWS, Microsoft Azure, Google Cloud Platform).
• Hands-on experience with open source ML/AI frameworks, agentic AI technologies, prompt engineering, and leading LLM models (Claude, GPT, Gemini, Nvidia AI stack).

It would also be a plus if you match some of the following:

• Experience in consulting, systems integration, or professional services environments.
• Experience with AIOps practices, LLM monitoring frameworks, and AI governance.
• Strong knowledge of ML and GenAI frameworks (e.g. LlamaIndex, LangGraph) and AI evaluation tools.
• Pre-sales or business development experience in AI/data services.

Additional Information

Being a part of the Netcompany team, you will be provided with:

• The opportunity to work in a modern environment & in a hybrid working model
• A seamless onboarding experience and a buddy to support you on your first steps
• A competitive compensation & benefits package
• Health and life insurance program
• Meal and commuting allowance
• Well-being activities (on premises)
• Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)
• A personalized development plan for targeted career growth

If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!

By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, you’ll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!

Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.

We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.

In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

phData is seeking an AI Governance Leader to join our Advisory team. You’ll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You’ll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData’s Intelligence Platform strategy.

Core Responsibilities

Client Delivery & Execution

• Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks (principles, policies, decision-rights) aligned to client’s industry, regulatory environment, and AI enablement vision
• Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
• Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
• Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
• Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
• Facilitate executive and working sessions to align stakeholders and drive decisions
• Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
• Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
• Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
• Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events

Client Leadership & Account Growth

• Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders, owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
• Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
• Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success

Thought Leadership & Practice Development

• Contribute to phData’s AI Governance, Operating Model, and FinOps offerings: methods, templates, accelerators, and client-ready collateral
• Support sales pursuits, webinars, and thought leadership focused on AI governance
• Mentor consultants and senior consultants

Required Qualifications

• 5+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance
• Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes
• Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations
• Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases
• Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001
• Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice
• Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables
• Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences
• Demonstrated ability to influence without authority and build cross-functional consensus
• Bachelor’s degree; ability to travel as required by client commitments

Preferred Qualifications

• Experience standing up AI governance committees, steering committees, or review boards — charters, cadences, and decision-rights
• Hands-on model risk management, responsible AI, or regulated-industry compliance experience (financial services, healthcare, or public sector)
• Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function
• Public thought leadership contributions on AI governance
• Advanced degree or relevant professional certifications

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers,...

About Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.

About Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Bedrock Ocean

Bedrock Ocean builds and operates autonomous underwater vehicles (AUVs) that collect georeferenced ocean-floor data at commercial scale. We deliver bathymetric and imagery data products to customers through our own platform, and we’re scaling toward continuous, around-the-clock data collection campaigns spanning months at a time.

We are building AI agents on Amazon Bedrock to support our ocean data, internal operations, and customer platform. This role owns that architecture.

(One note on names. Amazon Bedrock is the AWS service. Bedrock Ocean is us. They are unrelated, and we are aware it is confusing.)

The Role

We are looking for a Staff Platform Engineer to lead our AI architecture. This role goes beyond building agents on existing platforms; you will create the infrastructure itself, including the orchestration layer, the data and retrieval pipeline, and the security model required to work with production data. You will also build the tools and abstractions that allow our engineering team to implement AI features independently.

This position combines software engineering, data engineering, and infrastructure operations. You will manage the full lifecycle of our Amazon Bedrock implementation, from initial data chunking to IAM access controls. While some of our data pipelines are already in place, they will require significant expansion, and others will need to be built from scratch.

Security is core to this role, not an afterthought. Because agents with tool access represent a new kind of system actor, you will define their operational boundaries, including what they can access, the actions they can perform autonomously, and the monitoring required to detect issues.

Our roadmap prioritizes internal engineering and operational systems first to ensure a fast feedback loop, followed by our ocean and survey data products. Customer-facing retrieval is the final, high-stakes phase. You will play a key role in defining this sequence. While you will not be responsible for the core data transport design (store-and-forward or hub-and-spoke), you will work closely with that team to ensure it meets our retrieval and data freshness requirements.

What You’ll Do

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment.

• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity.

• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets.

• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation.

• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored.

• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix.

• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy.

• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently.

• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews.

What We’re Looking For

• 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.

• Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.

• Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited. The models are managed, but the backend APIs, tool endpoints, and ingestion jobs still run somewhere real.

• Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database (OpenSearch Serverless, Pinecone, pgvector, or similar) at production scale and cost.

• Real data engineering: you have built or substantially extended ingestion pipelines over messy, heterogeneous, unstructured sources, and you think about freshness and correctness as SLAs rather than afterthoughts.

• Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and provisioning safely through infrastructure as code (Terraform, CDK, or CloudFormation).

• Production LLM exposure: you have moved LLM features or autonomous agents past the prototype stage into environments other people depend on.

• A working point of view on securing agentic systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and where a human belongs in the loop.

• Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset. The interface is the product for the engineers who consume it.

• Experience building and operating multi-tenant services, with isolation guarantees that hold when the data belongs to customers rather than to us.

• Platform instinct: you build the abstraction other engineers stand on, and you measure yourself by what they ship rather than by what you ship directly.

• Demonstrated technical leadership and system design judgment at staff level: you have driven an architectural direction across pods or teams you do not manage, and made it stick through influence rather than authority.

• A pragmatic builder’s bias. You reach for boring, fully managed infrastructure before complex self-hosted alternatives, and you can tell the difference between the two in an architecture review.

• Comfort wearing several hats on a small team, and the discipline to write things down so the system runs without you.

Nice to Have

• Experience deploying LLM evaluations to measure accuracy over time and treating eval results as a release gate.

• Involvement in AI red-teaming or the AI security community.

• Experience with GraphRAG or knowledge graphs.

• Experience running retrieval over geospatial, scientific, or large-binary datasets.

• Experience moving data across intermittent or unreliable links: store-and-forward, hub-and-spoke topologies, offload from disconnected or edge systems, and reconciliation once a link comes back.

• Compliance experience such as SOC 2, or handling government or defense customer data.

• Background supporting data platforms, autonomous systems, or field operations.

Not a Fit If

• Your AI work has been prototypes and notebooks rather than systems other people depend on in production.

• You want to be a model researcher, a prompt engineer, or to spend your time fine-tuning models. This role owns the platform underneath agents and partners closely with the people building them.

• You treat security as a gate at the end of a project rather than something designed from the start.

• You would rather self-host and build from scratch than adopt a managed service that already works. We are optimizing for a small team shipping, not for architectural purity.

• You want a mature platform team and a narrow, well-bounded scope. This is an early build with a lot of surface area and few existing answers.

Why This Role Matters

At Bedrock Ocean, our mission is to make the ocean transparent. We are building more than just a survey service; we are creating a source of deep ocean intelligence that grows with every mission.

To realize this, we need to make our data accessible and actionable. This role is about building the infrastructure that allows our teams and eventually our customers to directly query and learn from our findings. Because this data is strategically sensitive, security is woven into the foundation of your work, not added on later.

Ultimately, an AI agent with access to our production data is a powerful tool, but it requires careful design to be a success. You will build a secure, reliable platform that ensures these systems empower our mission safely and effectively.

The base compensation for this role is expected to be $160,000- $220,000 annually plus equity.

Bedrock Ocean is an equal opportunity employer.