The Opportunity: 

As an experienced engineer, you know that building reliable and scalable AI systems requires far more than just model development, it demands strong software engineering practices, automation, and seamless integration across complex environments. Your ability to design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technical expertise and problem‑solving mindset to support the development and operationalization of AI capabilities that directly enhance mission performance and decision‑making. As an AI and ML engineer on our national security team, you’ll build, test, deploy, and operate software end‑to‑end AI pipelines that keep mission systems running securely and efficiently. 

In this role, you’ll guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability. You’ll collaborate with a cross‑functional team of AI model engineers, data engineers, cloud architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. You’ll contribute to solutions that optimize data flow, automate operational workflows, ensure monitoring and observability, and support resilient mission execution across hybrid compute environments. Your engineering skills and experience with modern AI and ML frameworks will help clients navigate evolving toolchains, deployment patterns, and operational considerations for scalable AI systems. 

Work with us to build reliable AI pipelines, modernize mission workflows, and define AI and ML strategy.

Join us. The world can’t wait.  

You Have:    

• Experience developing with Python or Rust
• Experience with Git
• Experience with integration of LLMs or agentic workflows within software stacks
• Experience with containerization or orchestration technologies such as Docker or Kubernetes
• Knowledge of CI/CD pipelines
• TS/SCI clearance with a polygraph
• HS diploma or GED and 6+ years of experience with­­­­­­­­­­­­­­­­­ software engineering or AI/ML engineering, or Bachelor’s degree and 4+ years of experience with software engineering or AI/ML engineering

Nice If You Have:   

• 10+ years of experience with software engineering or AI/ML engineering
• Experience with JavaScript or Typescript, HTML, and CSS
• Experience with AI agent frameworks
• Experience developing Retrieval-Augmented Generation (RAG)-enabled solutions
• Ability to evaluate emerging AI and ML frameworks, libraries, or tool chains
• Bachelor’s degree

Clearance:  

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

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.