Forward Deployed Engineer, Public Sector

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. 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 a decade but are still a small team operating with the spirit of a startup. Especially 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

Domino's Federal Forward Deployed Engineers are the technical force behind how the US Government's most demanding AI programmes actually get built. They work directly inside customer environments, hands-on with data science and ML teams, building and deploying models on Domino where the output has real operational consequence.

These engineers are deep in the stack, standing up LLM inference endpoints in air-gapped environments, architecting MLOps workflows for DoD compliance, and building custom applications that Federal teams depend on. They operate where model development meets mission-critical infrastructure, and they're expected to bring genuine ML and data science depth to every engagement.

The role also carries weight internally. What Federal FDEs encounter in the field; the constraints, the gaps, the frontier use-cases, directly shapes how Domino's platform evolves for the public sector.

What your impact will be

• Design and build custom ML solutions and applications directly on Domino, working hands-on with Federal data science teams to accelerate how they build, train, and deploy models in mission-critical environments.
• Deploy and operationalise LLMs and other frontier models to inference endpoints within highly secured, air-gapped infrastructure, solving real constraints that most ML engineers never encounter.
• Architect and implement end-to-end MLOps workflows on Domino, covering model development, compute orchestration, versioning, reproducibility, and audit-readiness for DoD and Federal compliance requirements.
• Build reusable, production-grade assets, reference architectures, accelerators, and deployment patterns, that raise the baseline of what Federal customers can achieve on the platform and feed directly into how Domino evolves.
• Serve as the technical voice of the customer internally, translating field experience from classified and complex environments into concrete product feedback that shapes platform direction.

What we look for in this role

• 5+ years in a hands-on technical role working directly with customers, post-sales professional services, solution engineering, or embedded consulting, with a track record of delivering in complex, high-stakes environments
• Production-level Python skills with the ability to build, not just prototype; you're comfortable owning code that customers depend on
• Hands-on experience building, training, and deploying ML models, including working knowledge of the full model development lifecycle from experimentation through to inference
• Practical experience with LLM deployment, including standing up and optimising inference endpoints, ideally in constrained or regulated environments
• Comfortable operating in air-gapped or classified infrastructure; existing clearance preferred, though transfer or sponsorship is available
• Familiarity with MLOps tooling and workflows, compute orchestration, model versioning, reproducibility, and experiment tracking
• Strong technical communication skills, able to run structured discovery with data science teams and translate complex requirements into buildable solutions
• Experience running or supporting ML inference benchmarks and evaluating model performance at deployment

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

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