AI/ML Engineer

Booz Allen Hamilton•Chantilly, VA

2d•$99,000 - $225,000•Remote

About The Position

Data scientists and intelligence analysts rely on multi‑step workflows that are time‑sensitive, detail‑rich, and critical to national security. As an AI/ML 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.

Requirements

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 programming languages such as Python
TS/SCI clearance with a polygraph
Bachelor’s degree and 5+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, Master's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, or 10+ 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 To Haves

Experience engineering AI capabilities in on‑premise or multi‑classification environments
Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
Experience with AWS or Azure, including work in restricted or classified environments
Experience with AI or LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI
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

Responsibilities

Capture user workflows and translate them into structured process maps, automation requirements, or executable logic.
Design and implement LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration.
Integrate AI systems with APIs, enterprise data stores, or mission platforms.
Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to security and governance expectations.