AI and ML Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VAChantilly, VA
Employment
Full-time
Posted
34 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $209k
$137k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $171,000–$246,150.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · AI and ML Engineer

As an AI and ML Engineer on the national security team, you will build agentic systems, fine-tune models, and develop RL environments to support the federal government. You will collaborate with product teams, data engineers, and government stakeholders to apply best-fit AI models and technologies to mission-critical solutions. Your daily work involves mapping AI solutions onto customer problems and defining AI strategy for the intelligence community. You must possess experience with LLMs, generative AI systems, and agentic frameworks. Required technical skills include knowledge of frameworks like LangGraph, MCP, or A2A. Preferred qualifications include Python, PyTorch, Keras, and experience deploying generative AI into production environments. This role requires a TS/SCI clearance with a polygraph and a Bachelor's degree by Spring 2027.

What you'll do

  • Build agentic systems and autonomous AI frameworks for national security clients.
  • Fine-tune large language models and generative AI systems for specific use cases.
  • Develop and build reinforcement learning (RL) environments.
  • Apply best-fit AI models and technologies to solve complex business processes.
  • Map specific AI solutions and algorithms onto unique customer problems.
  • Translate general user requirements into actionable technical tasks for development.
  • Deploy generative AI systems into production environments following government security requirements.

What we're looking for

  • Experience working with LLMs, generative AI systems, or agentic frameworks.
  • Knowledge of AI frameworks, supporting tools, and design patterns such as LangGraph, MCP, or A2A.
  • Ability to map AI solutions onto customer problems.
  • TS/SCI clearance with a polygraph.
  • Scheduled to obtain a Bachelor's degree by Spring 2027.
  • Experience training generative AI systems (preferred).
  • Experience communicating technical solutions to non-technical stakeholders (preferred).
  • Experience deploying generative AI systems into production environments (preferred).

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