AI Engineer

Job Number: R0222467

AI Engineer

The Opportunity:

Ready to apply your AI and machine learning skills to real-world challenges? As a Junior AI Engineer, you'll be part of a mission-focused AI Delivery team supporting the U.S. Air Force. From day one, your passion for AI, curiosity about new technologies, and strong problem-solving mindset will help shape the future of national defense.

In this role, you'll help design, build, and deploy AI solutions that tackle complex operational problems. You'll work alongside experienced data scientists, M & S experts, and sof tware engineers to experiment with state-of-the-art machine learning ( ML ) models, evaluate their performance, and integrate them into production systems that support warfighter decision-making.

Whether it's applying foundational models, fine-tuning LLMs, or contributing to custom solutions, you'll get hands-on experience with a wide range of AI technologies. You'll also join a growing community of AI professionals focused on advancing responsible AI and scaling impact across the Department of the Air Force.

Work with us to bring the best of AI innovation to the front lines of national security.

Join us. The world can't wait.

You Have:

• Experience with AI, ML, or deep learning, including coursework, internships, research, open source, personal projects, or startup
• Experience with Python and ML frameworks or libraries, including PyTorch, TensorFlow, Hugging Face Transformers, or scikit-learn
• Experience training, evaluating, or tuning ML models, including classification, regression, foundation models, or LLMs
• Experience developing or applying AI agents, autonomous systems, or multi-agent frameworks, including LangChain, AutoGPT, decision-making agents, or planning-based systems
• Ability to think critically about AI or ML system design, including model selection, tradeoffs, and real-world deployment considerations
• Secret clearance
• Bachelor's degree in a CS, Data Science, Engineering, or Mathematics field

Nice If You Have:

• Experience deploying ML models using Docker, FastAPI, or MLflow, working on team-based sof tware projects, or using version control such as Git
• Knowledge of responsible AI principles, LLMs, or MLOps best practices
• Ability to contribute to a cross-functional technical team, take initiative in exploring new tools, and adapt quickly to shifting priorities
• Master's degree in a related field
• CompTIA Security+, AWS Certified Machine Learning - Spe cia lty, or similar 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. 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 $55,200.00 to $126,000.00 (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 application process, 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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific 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.