Own delivery planning for public-sector AI programs, including product requirements documents, roadmaps, backlogs, timelines, scope, and agile delivery cadence. Translate customer mission needs into actionable engineering work, define completion criteria, maintain delivery reporting and metrics, and establish repeatable intake and delivery processes. The role is forward deployed with engineering teams, customer-facing, and requires active Secret-level or higher U.S. government clearance.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.

Build and deploy agentic, full-stack AI systems using LLMs, embeddings, RAG, and agent orchestration for defense and intelligence customers. Collaborate with customers, operate in classified/air-gapped environments, codify reusable patterns, and support end-to-end delivery from prototype to production.