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Agentic AI Machine Learning Engineer

Booz Allen

$99,000 - $225,000
Aug 19, 2025
Washington, DC, USA • Annapolis Junction, MD, USA • McLean, VA, USA • Arlington, VA, USA • Alexandria, VA, USA
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Booz Allen is looking for an experienced machine learning engineer to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve the toughest challenges facing the Defense and Intelligence sectors, transforming client operations, increasing data accessibility, and optimizing AI and ML systems.

Requirements

  • 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
  • 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data
  • 3+ years of experience working in cloud environments, including AWS and Azure
  • 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
  • Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
  • Experience in connecting Agents to APIs, Cloud platforms, or databases
  • Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use

Responsibilities

  • design, create, and implement complete AI systems
  • ensure that your team’s solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
  • deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments
  • building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks
  • training or deploying models across multiple modalities of data
  • deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
  • connecting Agents to APIs, Cloud platforms, or databases

Other

  • TS/SCI clearance
  • Bachelor’s degree
  • Ability to adapt in a rapidly changing environment
  • Possession of excellent verbal and written communication skills
  • Possession of excellent interpersonal, analytical, problem-solving, and organizational skills