AI/ML Engineer, Mid

Booz Allen Hamilton • Chantilly, VA

5d • $77,600 - $176,000

About The Position

As an AI/ML Engineer on Booz Allen’s national security team, you will train, test, deploy, monitor, and maintain machine-learning models. You will contribute to mission-critical solutions by selecting and applying suitable machine-learning algorithms and technologies, and help clients navigate ML algorithms, tools, and frameworks.

You will collaborate with machine-learning engineers, data engineers, software developers, data scientists, and mission stakeholders to develop AI/ML solutions for challenging problems and to triage large datasets. A TS/SCI clearance with polygraph is required. The role requires a bachelor’s degree in a STEM field.

Requirements

• Experience building and deploying AI/ML solutions into production.
• Experience working with LLMs, generative AI systems, or agentic frameworks.
• Experience with Python and object-oriented programming.
• Knowledge of AI frameworks, supporting tools, and design patterns, such as LangGraph, MCP, or A2A.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree in a STEM field.

Nice To Haves

• Experience communicating technical solutions to non-technical stakeholders.
• Experience deploying generative AI systems into production environments.
• Experience working in the Intelligence Community.
• Experience with a deep-learning framework such as PyTorch or Keras.
• Knowledge of security requirements for production code in government systems.
• Ability to translate general user requirements into actionable tasks.
• Master’s degree in a STEM field preferred; doctorate in a STEM field is a plus.

Responsibilities

• Train, test, deploy, monitor, and maintain machine-learning models.
• Apply suitable machine-learning algorithms and technologies to mission-critical solutions.
• Collaborate with machine-learning engineers, data engineers, software developers, data scientists, and mission stakeholders.
• Develop AI/ML solutions for challenging problems and help triage large datasets.
• Help clients navigate machine-learning algorithms, tools, and frameworks.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level