Senior Artificial Intelligence/Machine Learning Engineer

Booz Allen Hamilton

Senior AI/ML Engineer translating cyber and intelligence workflows into LLM-powered automation for Booz Allen. Building secure, production-ready capabilities for classified national-security environments.

Posted 9/10/2026full-timeFort Meade • Maryland • 🇺🇸 United StatesSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing AI-enabled workflows, particularly LLM-based solutions, while ensuring integration with existing systems and adherence to security protocols in classified environments. Proven ability to capture user workflows and translate them into structured automation requirements to support decision-making in high-tempo settings.

Highest-signal resume keywords

LLM-Based Workflow DesignAI System IntegrationPython ProgrammingTS/SCI ClearanceAWS or Azure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI / ML EngineeringData ScienceSoftware EngineeringProcess MappingAutomation RequirementsMulti-Step ReasoningTool IntegrationOrchestrationML FrameworksAI / LLM Development Frameworks

Soft Skills

CollaborationCommunicationDecision-MakingAdaptabilityProblem-Solving

Tools & Technologies

LangChainLangGraphPydanticAICrewAIPyTorchTensorFlowVLLMLlama.cpp

Certifications & Qualifications

TS/SCI Clearance with Polygraph

Industry Keywords

CyberIntelligenceNational SecurityOperational Data TypesMission-Oriented Analytical Processes

Tech Stack

Tools & technologies

AWSAzurePythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI-enabled capabilities
Design and implement LLM-powered workflows, agent-based automation, or hybrid solutions based on mission needs
Streamline analytical tasks and improve data accessibility
Support rapid, informed decision-making in high-tempo environments
Collaborate with operators, analysts, developers, and mission leadership
Integrate solutions with existing systems
Ensure solutions perform reliably in production
Adhere to security and governance expectations of classified environments

Requirements

What you’ll need

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 required
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 such experience in lieu of a degree
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 frameworks 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

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance and superior demonstration of company values
Identity verification process using advanced biometrics and artificial intelligence
Full-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs