Artificial Intelligence​/Machine Learning Engineer, Senior

Artificial Intelligence/Machine Learning Engineer, Senior page is loaded## Artificial Intelligence/Machine Learning Engineer, Senior locations:
Fort Meade, MD:
Annapolis Junction, MDtime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 21, 2026 (30+ days left to apply) job requisition :
R0238524

Artificial Intelligence/Machine Learning Engineer, Senior
*
* The Opportunity:

** 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 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
** Nice If You Have:
*** 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
** 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
* * At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $ (annualized USD). The estimate displayed represents the typical salary…