Artificial Intelligence and Machine Learning Engineer, Senior

Booz Allen Hamilton; Wahiawa (HI); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in the United States is seeking an Artificial Intelligence and Machine Learning Engineer, Senior, to design and implement AI-enabled capabilities that support rapid, informed decision‑making in high‑tempo environments.

You will capture mission workflows, translate them into structured processes, and develop LLM-based or agentic workflows with tool integrations, APIs, and production readiness.

Qualifications

• 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

Responsibilities

• Design and implement AI-enabled capabilities for mission contexts.
• Collaborate with operators, analysts, developers, and leadership to ensure production-ready integration.
• Translate mission workflows into production-grade AI solutions.

Skills

Python

LLM workflows

Agent-based automation

APIs integration

Security clearance

Education

Bachelor’s degree in AI/ML or related field

6+ years experience in AI/ML in lieu of degree

Tools

LangChain

LangGraph

PydanticAI

CrewAI

PyTorch

TensorFlow

vLLM

llama.cpp

AWS

Azure

Job description

Join a culture of emplowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Artificial Intelligence and Machine Learning Engineer, Senior

The Opportunity:

Cyber and intelligence analysts rely on multi‑step workflows that are time‑sensitive, detail‑rich, and critical to national security. As an Artificial Intelligence and 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.

Join us. The world can’t wait.

You Have:

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic

• Experience designing or implementing LLM‑basedor agenticworkflows, 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

• 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, or6+ years of experience in AI and ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree

Nice If You Have:

• Experience engineering AI capabilities in on‑premise or multi‑classification environments

• Experience with AWSor Azure, including work in restricted or classified environments

• Experience with AI or LLM development framework 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

• Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCIclearance with polygraph isrequired.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, 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

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, 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.