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

The Customer Engineering Solutions Team at Domino is the primary delivery engine that sits inside the walls of the world’s most regulated and demanding organizations, including the Fed Reserve Board of New York, the Navy, and other DoW and IC agencies.

A Forward Deployed Engineer is a software engineer with solutions instincts, embedded in a customer's environment, building AI workflows on Domino that the customer couldn't have built as fast, or as well, without you. We write production code, ship it inside the customer's environment, and stay until Domino is fundamentally part of how they work.

In the Public Sector vertical, we build and deploy production-grade solutions that solve real, high-impact use cases, ranging from specialized AI inferencing workflows, custom cloud and data integrations, to interactive applications. Our work provides the ultimate proof point that Domino is a comprehensive AI business solutions platform.

What your impact will be

In your first year, your impact will unfold across key milestones as you take ownership of strategic public sector accounts:

• Day 0-30 (Onboard & Shadow): You will be given the resources to master Domino platform mechanics and learn core user/admin functionalities. You will closely shadow the customer’s environment, pairing with a senior FDE to learn the client’s unique data, tooling stack, and commercial objectives.
• By Month 6 (Full Ownership): You will step into full customer ownership across your engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM). You will build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring) while actively advising data science teams on Domino best practices.
• By Year 1 (Strategic Scale & Leverage): You will lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders alike. You will author reusable playbooks, integration templates, and deployment guides for our shared knowledge base, measurably lifting the delivery speed of the entire FDE practice. Additionally, you will translate field intelligence into critical product feedback, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap.

What we look for in this role

• Security Clearance: An active TS/SCI clearance with Full-Scope Polygraph (FSP) is required. Candidates must meet and maintain all clearance requirements associated with the role.
• Location & Travel: Must be willing to live in or regularly travel to Maryland to support customer engagements and on-site requirements 5 days a week.
• We are looking for a sharp, action-first engineer who possesses a unique blend of deep technical grit and customer empathy.
• Core Technical Stack: Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL and Bash.
• Cloud & Infrastructure: Strong experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP). You should be capable of troubleshooting networking, compute, and platform issues.
• AI & MLOps Experience: A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
• Regulated Environment Navigation: Experience operating within, or consulting for, highly regulated or constrained environments. You can expertly navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits.
• Consultative Mindset: Exceptional communication skills across both technical and business audiences. You are comfortable running structured discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions.
• Execution Style: An "act fast, own it" mentality. You thrive in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly.

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

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

$175,000—$220,000 USD