Artificial Intelligence​/Machine Learning Engineer, Senior

Artificial Intelligence/Machine Learning Engineer, Senior

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.

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
• Experience designing or implementing LLM‑basedor agenticworkflows, including multi‑step reasoning, tool integrations, and orchestration
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
• Experience with Pythonand at least one AI/LLM development framework such as Lang Chain, Lang Graph, PydanticAI, or CrewAI
• Experience with AWSor 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

• Experience engineering AI capabilities in on‑premise or multi‑classification environments
• Experience with ML frameworks such as PyTorch, Tensor Flow, vLLM, 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

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.

Salary range: $99,000.00 to $ (annualized USD). Compensation includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full details are available on our Careers site.

Our people‑first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. Employees working virtually are generally expected to have their cameras on during meetings.

• Remote
  :
  If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid
  :
  If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite
  :
  If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.