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Forward Deployed Engineer, Public Sector
Domino Data Lab
Remote · United States$14,583–18,333 gross/mofull-timeDomino Data Lab Careers
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.
Responsibilities
- 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…
- 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…
- 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.
- 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.
Languages
- Work format
- Remote
- Seniority
- Mid
- Posted
- 27 Aug 2026
- Last verified
- In the last 5 days
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