This role pays less than
71%
of similar roles. Most pay
$162,000–$241,750
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
As an AI/ML Engineer, you will work directly with mission users to capture complex workflows and translate them into effective AI-enabled capabilities for data scientists and intelligence analysts. You will design and implement solutions including LLM-powered workflows, agent-based automation, and hybrid approaches to streamline analytical tasks and improve data accessibility in high-tempo environments. Your daily responsibilities involve collaborating with operators and developers to ensure systems integrate with existing platforms while meeting security requirements for classified environments. The role requires proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, vLLM, or llama.cpp. You will also utilize tools such as LangChain, LangGraph, PydanticAI, or CrewAI. This position focuses on solving critical national security problems by automating multi-step reasoning and integrating AI systems with enterprise data stores and mission platforms.
Capture mission user workflows and translate them into structured process maps and automation requirements.
Design and implement LLM-powered workflows and agent-based automation for multi-step reasoning.
Integrate AI systems with APIs, enterprise data stores, and existing mission platforms.
Develop AI-enabled capabilities to streamline analytical tasks and improve data accessibility.
Ensure all solutions perform reliably in production while adhering to security and governance standards.
Build AI capabilities within on-premise or multi-classification environments.
Develop software using Python and relevant ML frameworks like PyTorch, TensorFlow, or vLLM.
What we're looking for
TS/SCI clearance with polygraph.
Bachelor's degree and 5+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments.
Master's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments.
10+ 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 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.
Proficiency in programming languages such as Python.
Experience engineering AI capabilities in on-premise or multi-classification environments (preferred).
Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp (preferred).
Experience with AWS or Azure, including work in restricted or classified environments (preferred).
Experience with AI or LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI (preferred).
Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes (preferred).
Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering (preferred).
AIOps
ML Ops
model ops
data ops
Python
Linux Shell Script
Kubernetes
Docker
Jenkins
CI/CD
DevSecOps
AWS
Azure
Google Cloud Platform
Container Orchestration
Zero Trust
Machine Learning Frameworks