Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an Artificial Intelligence/ Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI-enabled capabilities. You will design and implement solutions that may include LLM-powered workflows, agent-based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments. You’ll 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. Join us. The world can’t wait. You Have: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 Lang. Chain, Lang. Graph, Pydantic. AI, or Crew. AI - 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. Nice If You Have:Experience engineering AI capabilities in on-premise or multi-classification environments. Experience with ML frameworks such as Py. Torch, Tensor. Flow, v. LLM, or llama.cpp. Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes. Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering. Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/ SCI clearance with polygraph is required. Compensation.