This role pays less than
80%
of similar roles. Most pay
$173,075–$246,150
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$210k
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
777 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 751 roles with salary data.
As an Artificial Intelligence and Machine Learning Engineer, Senior, you will work directly with mission users to capture complex workflows and translate them into effective AI-enabled capabilities for cyber 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 integrate systems within classified environments while ensuring reliability and security compliance. The role requires proficiency in Python and experience with tools such as LangChain, LangGraph, PydanticAI, CrewAI, PyTorch, TensorFlow, vLLM, or llama.cpp. You will also utilize AWS or Azure platforms. This position addresses the critical need for automated decision-making support within national security contexts involving multi-step reasoning and complex data integration.
Capture and document mission-critical workflows from cyber and intelligence analysts.
Translate operational decision points into structured process maps and executable logic.
Design and implement LLM-powered workflows and agent-based automation systems.
Integrate AI systems with APIs, enterprise data stores, and existing mission platforms.
Develop AI capabilities that function reliably within secure, classified environments.
Build multi-step reasoning and tool integration features for automated analysis.
Engineer solutions to improve data accessibility and speed up decision-making in high-tempo environments.
What we're looking for
TS/SCI clearance with polygraph.
Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering in cyber, intelligence, or national security environments.
6+ years of experience in AI/ML engineering, data science, or software engineering in 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 with on-premise/multi-classification environments, AWS/Azure, LLM frameworks (LangChain, LangGraph), ML frameworks (PyTorch, TensorFlow), or cyber/intelligence workflows (preferred).