Forward Deployed Engineer, Public Sector

Domino Data Lab•Remote US (Maryland), MD

2d•$175,000 - $220,000•Onsite

About The Position

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.

Requirements

An active TS/SCI clearance with Full-Scope Polygraph (FSP) is required.
Must be willing to live in or regularly travel to Maryland to support customer engagements and on-site requirements 5 days a week.
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).
Capable of troubleshooting networking, compute, and platform issues.
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.
Ability to navigate multi-factor constraints like strict compliance rules, data security hurdles, and infrastructure limits.
Exceptional communication skills across both technical and business audiences.
Comfortable running structured discovery conversations, leading technical solutioning sessions, and translating messy customer requirements into buildable, tested solutions.
An "act fast, own it" mentality.
Thrive in ambiguity, do not let blockers sit, and are comfortable making yourself productive inside an unfamiliar codebase quickly.

Responsibilities

Build and deploy production-grade solutions across the entire MLOps lifecycle (development, deployment, and monitoring).
Actively 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, routing platform signals to our SRE, Support, and Product teams to shape Domino’s roadmap.