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Open nowPosted 125 days ago

AI Solutions Engineer, Public Sector

Domino Data Lab23 open roles

Pay
$200,000 – $250,000 a year
Where
Remote US
Work mode
Remote
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Your applicationOpen nowAI Solutions Engineer, Public SectorDomino Data Lab · Remote US
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Domino Data Lab postings stay open a median of 45 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 125 days ago

Domino Data Lab median: 45 days open

The posting

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

Our AI Solutions Engineers work with customers to understand the problems they are trying to solve, then design solutions on our platform that address them. Working with data science and ML teams, you will uncover where they get stuck, shape ideas into technical approaches, and build prototypes, demos and proof-of-concepts that show how their problem gets solved. Our Enterprise Account Executives manage the commercial relationship, so your focus stays on the problem and the solution.

We are a growing company, so you will also feed customer insight back to Product, Engineering and Marketing, helping shape where the platform goes next. If you enjoy getting to the root of a problem and building something that works, you will feel at home here.

What your impact will be

  • Lead technical evaluations and demonstrations of the Domino platform for customers across the Department of Defense, civilian agencies, federally funded research and development centers (FFRDCs), and major defense contractors.
  • Design and execute proof-of-concept deployments tailored to each customer’s environment and mission needs, showcasing Domino’s integration with their data science workflows and infrastructure.
  • Collaborate with account executives to craft solution architectures that meet federal security and compliance standards (e.g., FedRAMP, IL5).
  • Develop and maintain reusable demonstration environments and technical assets that accelerate future sales cycles.
  • Drive post-POC adoption readiness by partnering with Customer Success and Solutions Architects to ensure a smooth handoff into deployment.
  • Success will be evident through higher technical win rates, reduced time to close, and increased adoption within key government accounts.

What we look for in this role

  • Security Clearance: This position requires an active U.S. Secret Security Clearance (US Citizenship required), with the ability to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance and program access (post start). A U.S. Security Clearance that has been active in the past 24 months is considered active.
  • Proven success in pre-sales or solutions engineering, ideally supporting enterprise software or AI/ML platforms. This does not necessarily need to be at a software vendor, equivalent solution engineering tasks internally or as a consultant developer could work.
  • Experience with U.S. public sector customers, especially within federal agencies, defense, or national labs — understanding their procurement processes, compliance constraints, and security environments.
  • Track record of leading successful technical evaluations or pilots that resulted in multimillion-dollar enterprise or government software deals.
  • Experience working in complex, highly regulated IT environments, including hybrid or air-gapped systems.
  • Proficiency in Python, R, and modern data science / machine learning tools.
  • Familiarity with containerization (Docker, Kubernetes), cloud platforms (AWS GovCloud, Azure Government, GCP), and networking concepts.
  • Understanding of the end-to-end AI lifecycle, from experimentation to production.

What we value

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

#LI-Remote

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Total Compensation Range

$200,000—$250,000 USD

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