Artificial Intelligence and Machine Learning Engineer, Senior

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

Job summary

Booz Allen Hamilton is seeking a Senior AI/ML Engineer to translate complex workflows into AI-enabled capabilities for national security missions.

You will design LLM-based or agentic workflows, integrate AI with enterprise systems, and collaborate with operators and leadership to deliver reliable, secure solutions in high-tempo environments.

Applicants should have Python expertise, security clearances, and 3+ years in cyber/ national security AI/ML fields, or 6+ years without a degree.

Qualifications

• Capture user workflows and translate to structured processes or automation specs.
• Design or implement LLM-based or agentic workflows with multi-step reasoning and tool integration.
• Integrate AI systems with APIs, data stores, or mission platforms.
• Proficient in Python with exposure to AI/ML tooling and security practices.
• TS/SCI clearance with polygraph is required for this role.

Responsibilities

• Collaborate with operators, analysts, developers, and leaders to deploy AI capabilities.
• Translate mission needs into robust, production-ready workflows and analytics.
• Ensure security, governance, and reliability in classified environments.

Skills

Workflow capture

LLM workflows

Agent-based workflows

APIs integration

Python

LangChain

LangGraph

PydanticAI

CrewAI

PyTorch

TensorFlow

vLLM

llama.cpp

TS/SCI clearance with polygraph

Education

Bachelor's degree in AI/ML or related field

Master's degree in AI/ML, Data Science, Cybersecurity, or Engineering

Tools

LangChain

LangGraph

PydanticAI

CrewAI

PyTorch

TensorFlow

vLLM

llama.cpp

Job description

Job Number: R0249974

Artificial Intelligence and Machine Learning Engineer, Senior

Cyber and intelligence analysts rely on multistep workflows that are timesensitive, detailrich, 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 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 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 onpremise or multiclassification environments
• Experience with AWSor Azure, including work in restricted or classified environments
• Experience with AI and 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 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.