Deployment Strategist (TS/SCI Clearance Required)

Deployment Strategist (TS/SCI Clearance Required) Early-stage defense AI company. Arlington, Virginia. Location: Arlington, Virginia. On client site 80 to 100% of the time. Not eligible for remote or hybrid work. Role type: Full-time employee, individual contributor. Reports to: The lead for your engagement. Compensation: $140,000 to $220,000 base, depending on experience, plus equity. Travel: Periodic CONUS and OCONUS travel to supported units. Clearance: U.S. citizenship and an active TS/SCI. About the Client We build the vendor neutral operating system for agentic AI in high consequence environments. In our first ten months we won four fully competed prime contracts across the U.S. Government, every one of them deploying into classified spaces. We are live on JWICS. We were selected from a field of 200+ companies for a defense innovation challenge and won it. We beat two established defense primes on the same program and earned the follow-on, now in execution. About the Role Deployment Strategists are the mission experts on our field teams. Our agentic harness is deployed in classified environments across the Intelligence Community and the Department of Defense, and your job is to make it produce work that meets mission standards. You map how analysts and operators actually work, capture institutional knowledge that has never been written down, and encode it into the p [... source excerpt omitted ...] agents, workflows, and skills. You are the person accountable for whether the platform gets adopted. This is a technical role. You will not own connectors or infrastructure, but you will build in the platform every day, configuring agents, building workflows, and scripting in Python, and you are expected to develop genuine depth in how AI agents are designed, prompted, and evaluated. This role requires genuine domain expertise in the customer's mission space, earned by having done the work. You report to the lead for your engagement and work alongside the Forward Deployed Engineers on the same team. This role is on client site 80 to 100% of the time in Arlington, Virginia. It [... source excerpt omitted ...] training and coaching. About 20% documentation and feedback. Reusable workflow documentation, and carrying analyst feedback on platform behavior back to product and engineering. Responsibilities Mapping current analyst workflows before platform configuration begins. Tribal knowledge capture. You interview experienced analysts and operators to surface SOPs, undocumented practice, and exception to policy patterns. Encoding that knowledge into the platform as agents, workflows, and skills, owning whether the output is mission correct and not only technically valid. Agent quality. You apply prompt and workflow design, evaluation, and failure analysis to make agent output reliable.