AI Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
VA · Fort Belvoir, VA · Reston, VA
Salary
$99,000–$225,000 / yr
Posted
3 days ago
Closes
Aug 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $162k
$81k most similar roles pay here $264k

This role pays less than 74% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $162k versus about $204k for comparable roles.

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 670 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 657 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Engineer

As an experienced AI Engineer on our national security team, you will play a pivotal role in training, testing, deploying, and maintaining machine learning models that process vast datasets. Your responsibilities include defining the direction of critical solutions by applying optimal ML algorithms and technologies, collaborating with data engineers, scientists, and MLOps teams to deliver scalable systems, and ensuring robust performance through continuous optimization. You will work extensively with Python, LLM-powered systems, vector databases like LanceDB and Elasticsearch, and RAG pipelines, translating prototypes into production-ready applications. This role requires a TS/SCI clearance and experience in cloud platforms such as AWS or Azure, containerization technologies like Docker, and distributed systems including Kafka for streaming data integration.

What you'll do

  • Train, test, deploy, and maintain machine learning models for enterprise applications.
  • Define and direct critical solutions by applying optimal ML algorithms and technologies.
  • Integrate AI components like embeddings, vector databases, and RAG pipelines in systems.
  • Translate early-stage AI prototypes into scalable production systems with high reliability.
  • Optimize system performance continuously for latency, throughput, and robustness.

What we're looking for

  • Experience in software engineering, ML engineering, and AI systems development using Python.
  • Expertise in building, deploying, and maintaining large language model (LLM)-powered systems in production environments.
  • Proficiency in integrating AI components like embeddings, vector databases, and RAG pipelines.
  • Ability to translate prototypes into robust, scalable production systems.
  • Strong ownership of system performance with a focus on optimization for latency, throughput, and reliability.
  • TS/SCI clearance required.

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