Senior Artificial Intelligence and Machine Learning Engineer

Booz Allen Hamilton

. Work directly with mission users to capture workflows, document operational decision points, and translate them into AI-enabled capabilities .

Posted 9/21/2026full-timeFort Meade • Maryland • United StatesSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-enabled workflows, particularly with LLM and agent-based automation, while ensuring integration with existing systems in classified environments. Proven ability to capture user workflows and translate them into structured process maps and automation requirements.

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 EngineeringMachine Learning EngineeringProcess MappingAutomation RequirementsMulti-Step ReasoningTool IntegrationOrchestrationLangChainPyTorchTensorFlow

Soft Skills

CollaborationDecision-MakingAnalytical Thinking

Tools & Technologies

LangGraphPydanticAICrewAIVLLMLlama.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 AI-enabled capabilities
Design and implement LLM-powered workflows, agent-based automation, or hybrid solutions
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 and ensure reliable production performance
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 is required
Bachelor’s degree and 3+ years of experience in AI and 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 restricted or classified environments
Experience with AI and 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 program
Identity verification and fraud-prevention process