Forward Deployed Engineer, Public Sector

About the role

The Customer Engineering Solutions Team at Domino is hiring a Forward Deployed Engineer (FDE) to build and deploy production-grade AI workflows for our public sector clients.

Responsibilities

• Master Domino platform mechanics and learn core user/admin functionalities.
• Closely shadow the customer's environment, pairing with a senior FDE to learn the client's unique data, tooling stack, and commercial objectives.
• Step into full customer ownership across engagements, executing independently against a prioritized backlog managed by your partner Engagement Manager (EM).
• Build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring).
• Advise data science teams on Domino best practices.
• Lead and advise on key accounts, serving as a trusted advisor to technical and business stakeholders.
• Author reusable playbooks, integration templates, and deployment guides for our shared knowledge base.
• Translate field intelligence into critical product feedback, shaping Domino’s roadmap.

Requirements

• An active TS/SCI clearance with Full-Scope Polygraph (FSP).
• 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.

Qualifications

• Strong engineering roots with deep proficiency in Python (primary), alongside familiarity with SQL and Bash.
• Strong experience with Kubernetes and managed K8s solutions (such as EKS, AKS, or GKE), Docker, and cloud architecture (AWS, Azure, or GCP).
• A proven track record of delivering machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
• Experience operating within, or consulting for, highly regulated or constrained environments.
• Consultative Mindset: Exceptional communication skills across both technical and business audiences.
• An "act fast, own it" mentality.

Skills

• Security Clearance: Active TS/SCI clearance with Full-Scope Polygraph (FSP).
• Technical Stack: Proficiency in Python, SQL, Bash, Kubernetes, Docker, cloud architecture (AWS, Azure, or GCP).
• MLOps Experience: Delivery of machine learning workflows, model deployment/monitoring, GPU workloads, and generative AI or agent frameworks.
• Regulated Environment Navigation: Expertise in navigating multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits.
• Consultative Mindset: Excellent communication skills across both technical and business audiences.
• Execution Style: Ability to act fast, own it, and make oneself productive inside an unfamiliar codebase quickly.

Benefits

• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Pay

Total Compensation Range: $175,000—$220,000 USD

Schedule

Must be willing to live in or regularly travel to Maryland to support customer engagements and on-site requirements 5 days a week.