Work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI-enabled capabilities
Design and implement solutions that may include LLM-powered workflows, agent-based automation, or hybrid approaches depending on mission needs
Streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments
Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments

Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration
Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
Experience with Python and at least one AI / LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
Experience with AWS or Azure, including work in restricted or classified environments
TS/SCI clearance with a polygraph
Bachelor’s degree and 3+ years of experience in AI / ML engineering, data science, or software engineering within cyber, intelligence, or national security environments or 6+ years of experience in AI / ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree

Senior Artificial Intelligence/Machine Learning Engineer

Key skills