The Opportunity: 

As an experienced AI/ML engineer, you know that modern machine learning requires more than accurate models, it demands strong engineering practices, thoughtful system design, and the ability to build solutions that perform reliably in production. Your ability to conduct statistical analyses, implement AI/ML techniques, and build robust AI/ML pipelines makes you integral to delivering customer‑focused solutions. We need your technical expertise and problem-solving mindset to support AI/ML missions across the federal government. As an AI/ML engineer on our team, you’ll design, train, test, deploy, and maintain end‑to‑end AI/ML systems, ensuring models perform reliably not just in development, but in production. 

In this role, you’ll own and define the direction of mission-critical solutions by selecting best‑fit algorithms, architecting AI/ML pipelines, and applying modern MLOps practices. You’ll be part of a talented team of machine learning engineers across the company and collaborate with data engineers, data scientists, software engineers, and product owners to deliver world class solutions. Your skills and technical leadership will guide clients as they navigate the landscape of AI/ML tools, frameworks, and operational strategies. 

Work with us to solve real-world challenges and define AI/ML strategy for the Defense sector and beyond.

Join us. The world can’t wait. 

You Have:  

• 4+ years of experience as an Artificial Intelligence/Machine Learning Engineer or Advanced Data Scientist

• Experience deploying and integrating production-grade AI/ML models using tools such as Docker or Kubernetes

• Experience with Large Language Models (LLMs), Deep Learning (DL) or Reinforcement Learning (RL) algorithms, along with frameworks such as TensorFlow, PyTorch, vLLM, and Ollama

• Knowledge of MLOps principles and the design and implementation of machine learning algorithms integrated in operational systems and deployed to production environments

• Ability to train, optimize, and integrate AI/ML algorithms across high throughput text, image, or video data feeds

• Secret clearance

• Bachelor's degree

Nice If You Have:  

• Experience working in cloud environments, such as AWS or Azure

• Experience developing production‑quality ML-enabled software components, such as RESTful APIs, microservices, or real‑time inference pipelines

• Experience with emerging agentic AI frameworks and understanding of how to integrate agent‑based systems into production environments

• TS/SCI clearance 

• Master's degree 

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.

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.