AI/ML Engineer, Mid

Booz Allen Hamilton•Chantilly, VA

2d•$77,600 - $176,000

About The Position

As an AI/ML Engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge, curiosity, and drive for solving problems to support close to critical, close to mission challenges. As a machine learning engineer on our national security team, you’ll train, test, deploy, monitor, and maintain models that learn from data. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with data engineers, software developers, data scientists, and mission stakeholders to deliver world-class solutions to creatively apply AI/ML solutions to solve cutting edge problems, triage large datasets. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.

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 degree in a STEM field a plus

Responsibilities

Train, test, deploy, monitor, and maintain models that learn from data.
Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Collaborate with data engineers, software developers, data scientists, and mission stakeholders to deliver world-class solutions.
Creatively apply AI/ML solutions to solve cutting edge problems.
Triage large datasets.