Artificial Intelligence & Machine Learning Engineer — Arlington, VA

Artificial Intelligence & Machine Learning EngineerThe 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:

Compensation

Identity Statement

Candidate AI Usage Policy

• 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