Skip to content
NEXTMOVEFDE careers · United States
Booz Allen

AI/ML Engineer

AI summary of the role

This AI/ML Engineer role on Booz Allen's national security team focuses on building agentic systems, fine-tuning models, and developing RL environments for the intelligence community.

What you’ll do

  • Build agentic systems, fine tune models, and build RL environments
  • Apply best-fit AI models and technologies to mission-critical solutions
  • Collaborate with product teams, data engineers, and government stakeholders
  • Define AI strategy for the intelligence community

What you’ll bring

  • Experience with LLMs, generative AI systems, or agentic frameworks
  • Knowledge of AI frameworks and design patterns such as LangGraph, MCP, or A2A
  • Ability to map AI solutions onto customer problems
  • TS/SCI clearance with a polygraph

Technologies

LLMs · generative AI · agentic frameworks · LangGraph · MCP · A2A · PyTorch · Keras · Python · AWS Certified AI Practitioner

About Booz Allen

Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.

Public · 5000+ people

Source and classification

Production engineering · Evidence for this classification:

AI/ML Engineer The Opportunity: As a programmer, 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 and desire to problem-solve to support transforming the federal government with AI. As an AI Engineer on our national security team, you’ll build agentic systems, fine tune models, build RL environments, and make AI a reality for our clients. In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit AI models and technologies. You’ll grow within a large community of AI engineers across the company and collaborate with product teams, data engineers, and government stakeholders to deliver world-class solutions to build
How jobs are selected

Employer postings · Data from · Sources