Artificial Intelligence/Machine Learning Engineer, Senior

About the role

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.

Responsibilities

• Design and implement LLM-based or agent-based workflows, including multi-step reasoning, tool integrations, and orchestration
• Integrate AI systems with APIs, enterprise data stores, or mission platforms
• Collaborate with mission users to capture workflows and document operational decision points
• Translate workflows into executable logic and automate processes
• Ensure solutions integrate with existing systems and comply with security and governance standards
• Work closely with operators, analysts, developers, and mission leadership to develop and deploy AI-enabled capabilities

Requirements

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
• Experience designing or implementing LLM-based or agent-based 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

Qualifications

• Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments
• 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

Skills

• 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

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Identity Statement

We will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

The 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.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote

If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Hybrid

If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

Onsite

If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.