AI/ML Engineer

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
McLean, VAChantilly, VA
Posted
81 days ago
Freshness
Confirmed live yesterday
Closes
Sep 30, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $202k
$137k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer on the national security team, you will join a large community of engineers to develop mission-critical solutions for the intelligence community. You will be responsible for building agentic systems, fine-tuning models, and creating RL environments while collaborating with product teams, data engineers, and government stakeholders. The role involves applying best-fit AI models to solve real-world challenges and mapping technical solutions onto specific customer problems. To succeed, you must possess experience with LLMs, generative AI systems, or agentic frameworks, alongside knowledge of tools like LangGraph, MCP, or A2A. Preferred technical skills include Python, PyTorch, Keras, and cloud certifications. You will navigate complex algorithms to provide technical guidance for government clients while ensuring all production code meets specific security requirements for high-level intelligence environments.

What you'll do

  • Build and develop agentic systems using LLMs and generative AI frameworks.
  • Fine-tune machine learning models to meet specific client requirements.
  • Develop reinforcement learning environments for national security applications.
  • Conduct statistical analyses on business processes using machine learning techniques.
  • Map complex AI solutions onto specific customer problems and requirements.
  • Deploy generative AI systems into production environments within government systems.
  • Define AI strategies and select best-fit models for the intelligence community.
  • Translate general user requirements into actionable technical tasks.

What we're looking for

  • Experience working 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 is required.
  • Bachelor's degree in a technology field like Computer Science or Statistics.
  • Experience training, deploying, and communicating technical solutions for generative AI systems.
  • Proficiency with deep learning frameworks such as PyTorch or Keras and knowledge of Python.
  • Knowledge of security requirements for production code in government systems.

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