Artificial Intelligence/Machine Learning Engineer, Senior

Phase2 Technology; Corridor North (MD); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Job summary

Booz Allen Hamilton is seeking an AI/ML Engineer to translate mission workflows into AI-enabled capabilities, including LLM-powered workflows, agent-based automation, or hybrid approaches. You will work with operators, analysts, and leadership to ensure secure, reliable integration with existing systems.

The role requires Python expertise, experience in AI/ML within cyber/intelligence contexts, and TS/SCI clearance with polygraph.

Qualifications

• Experience capturing user workflows and translating them into structured process maps or executable logic.
• Experience designing or implementing LLM-based or agentic workflows with multistep reasoning and tool integrations.
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
• Proficiency in Python programming language.
• TS/SCI clearance with a polygraph.
• Bachelor's degree and 3+ years of relevant AI/ML or software engineering experience in cyber/intelligence environments or 6+ years without a degree.

Responsibilities

• Capture workflows and translate them into structured automation requirements or executable logic.
• Design or implement LLM-based or agentic workflows with multistep reasoning and orchestration.
• Integrate AI solutions with APIs, data stores, and mission platforms.
• Collaborate with operators, analysts, developers, and leadership to ensure reliable production deployments.

Skills

Workflow mapping

LLM workflows

API integration

Python

Security clearance TS/SCI

Education

Bachelor's degree in AI/ML or related field

Master's degree in AI/ML/Cybersecurity (nice to have)

Tools

LangChain

LangGraph

PydanticAI

CrewAI

PyTorch

TensorFlow

vLLM

llama.cpp

Job description

Job Number: R0238524

The Opportunity:

Cyber and intelligence analysts rely on multistep workflows that are timesensitive, detailrich, 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 AIenabled capabilities.

You will design and implement solutions that may include LLMpowered workflows, agentbased automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decisionmaking in hightempo 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 LLMbasedor agenticworkflows, including multistep 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/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments or6+ years of experience in AI/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 onpremise or multiclassification environments

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

• Experience with AI/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 missionoriented 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.