Artificial Intelligence Engineer

Booz Allen Hamilton; San Antonio (TX); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an experienced ML Engineer to design and deploy AI-driven solutions for defense-related missions in a collaborative, cross-disciplinary environment.

You will work with engineers, data scientists, and architects to translate complex datasets into mission-ready ML applications and scalable cloud-based systems. Expect engaging projects, security-focused workflows, and growth opportunities.

Qualifications

• 2+ years of experience with machine learning, data science, data engineering, or software development.
• Experience with integration of LLMs or Agentic Workflows within software stacks.
• Experience with the Agile software development lifecycle and full-stack web application development.
• Bachelor's degree in Computer Science or a Science or Mathematics field.

Responsibilities

• Develop, train, test, deploy, and maintain ML models for defense-focused workloads.
• Collaborate with data scientists, engineers, and architects on AI-native solutions.
• Apply ML algorithms and tools across software, cloud, and platform integration.
• Define ML strategy for defensive and offensive cyberspace operations.

Skills

Machine Learning

Data Engineering

Full-Stack Development

Agile SDLC

Education

Bachelor's degree in Computer Science or Science/Mathematics

Tools

AWS

Azure

GCP

Databricks

Palantir Foundry

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.

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the Air Force. As a machine learning engineer on our defensive and offensive cyberspace operations teams, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a talented team of machine learning engineers across the company and collaborate with data scientist, data engineers, solutions architects, and developers to deliver world class solutions. As an AI Engineer on our team, you’ll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations.

You Have:

2+ years of experience with machine learning, data science, data engineering, or software development

Experience with integration of LLMs or Agentic Workflows within software stacks

Experience with the Agile software development lifecycle and full-stack web application development

Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities

Bachelor's degree in Computer Science or a Science or Mathematics field

Nice If You Have:

• Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry
• Top Secret clearance
• DoD 8570 Level II Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

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.

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.