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Lumbra Incorporated in Arlington, VA, is seeking a Deployment Strategist, Intel (TS/SCI with CI Polygraph) for on-site, full-time work supporting classified programs. You map analyst workflows, capture tacit knowledge, and encode it into Nebula as agents, workflows, and skills, while developing deep expertise in AI agent design and evaluation.
You will script in Python, collaborate with Forward Deployed Engineers, and drive adoption through analyst training.
Deployment Strategist / Arlington / On Site / Full Time
Deployment Strategist, Intel (TS/SCI with CI Polygraph Required)
Lumbra builds 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.
Deployment Strategists are the mission experts on Lumbra's field teams. Nebula, 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 Nebula as 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 Nebula 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 is not eligible for remote or hybrid work.
50% building in Nebula. Configuring agents, designing and evaluating workflows, and scripting in Python.
30% analyst engagement. Workflow mapping, elicitation interviews with experienced analysts, and hands-on training and coaching.
20% documentation and feedback. Reusable workflow documentation, and carrying analyst feedback on platform behavior back to product and engineering.
before platform configuration begins.
You interview experienced analysts and operators to surface SOPs, undocumented practice, and exception to policy patterns.
as agents, workflows, and skills, owning whether the output is mission correct and not only technically valid.
You apply prompt and workflow design, evaluation, and failure analysis to make agent output reliable.
who own the connectors, integrations, and infrastructure your workflows depend on.
You drive it through hands-on training and coaching, and it is this role's primary metric.
You are the main point of contact for it.
that shortens every deployment after yours.
CIA officers, MIT engineers, Special Operations combat veterans, and applied AI engineers from frontier labs including Anthropic and Google. You will make decisions that immediately affect national security. You will own part of a company early and when it matters.
Training is one output. The core function is capturing mission knowledge and encoding it.
Domain credibility is the basis of the position.
You build in Nebula and script in Python. Forward Deployed Engineers own production integrations and infrastructure.
You are an individual contributor on a small team, reporting to the engagement lead.