Booz Allen
ArtificialIntelligence/MachineLearningEngineer,Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“Artificial Intelligence/Machine Learning Engineer, Senior at Booz Allen. Skills: AI/ML Engineering, LLM-based workflows, agentic workflows, Python. Work directly with mission users to capture workflows. Document operational decision points”
What You'll Achieve.
streamline analytical tasks; improve data accessibility; support rapid, informed decision-making
Industry & Context.
multi-step reasoning
TS/SCI clearance with a polygraph, on-premise or multi-classification environments, restricted or classified environments, classified environments, identity verification process that leverages advanced biometrics and artificial intelligence, expected to be on camera during interviews and assessments, reserve the right to take your picture to verify your identity and prevent fraud, use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided, cameras on during meetings
What They're Looking For.
Must 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 programming languages such as Python, 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 to Have
Experience engineering AI capabilities in on‑premise or multi‑classification environments, Experience with AWS or Azure, including work in restricted or classified environments, Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI, Experience with ML frameworks such as PyTorch, TensorFlow, 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
What You'll Do.
Work directly with mission users to capture workflows
Document operational decision points
Translate workflows into effective AI-enabled capabilities
Design and implement solutions that may include LLM-powered workflows
agent-based automation
Streamline analytical tasks
Improve data accessibility
informed decision-making in high-tempo environments
Collaborate with operators
and mission leadership to ensure solutions integrate cleanly with existing systems
Ensure solutions perform reliably in production
Adhere to security and governance expectations of classified environments
How You'll Work.
Team & Collaboration
Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems
Full Job Description
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 programming languages such as Python * 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 AWS or Azure, including work in restric
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