AI Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Fort Belvoir, VAReston, VA
Salary
$77,600–$176,000 / yr
Posted
3 days ago
Closes
Sep 27, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $127k
$57k most similar roles pay here $266k

This role pays less than 90% of similar roles. Most pay $158,625–$246,150 — the shaded band above. At the midpoint, this role pays about $127k versus about $202k 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 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 691 roles with salary data.

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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 collaborate with data engineers and scientists to develop and maintain large-scale machine learning models that process vast datasets. Your daily tasks include deploying and optimizing LLM-powered systems, implementing advanced prompting strategies, and integrating vector databases and RAG pipelines into complex data infrastructures. You should have at least three years of experience in AI/ML development using Python, with a focus on production environments and robust system performance optimization. Familiarity with cloud platforms like AWS, Azure, or GCP, as well as containerization technologies such as Docker and Kubernetes, is beneficial. This role requires expertise in deploying models seamlessly across various infrastructures and optimizing open-source models for efficiency.

What you'll do

  • Train, test, deploy, and maintain large language model (LLM)-powered systems in production.
  • Implement advanced prompting strategies and integrate AI orchestration frameworks like LangChain or LlamaIndex.
  • Develop and optimize retrieval-augmented generation (RAG) pipelines for complex data processing.
  • Integrate embeddings, vector databases, and other AI components to enhance system performance.
  • Translate early-stage AI prototypes into scalable production systems with high reliability.

What we're looking for

  • 3+ years of experience in software engineering, machine learning engineering, or AI systems development using Python.
  • Experience building, deploying, and maintaining large language model (LLM)-powered systems and complex data pipelines in production environments.
  • Proficiency in implementing advanced prompting strategies and integrating AI orchestration frameworks like LangChain or LlamaIndex.
  • Expertise in embedding technologies, vector databases such as LanceDB, pgvector, Elasticsearch, and Retrieval-Augmented Generation (RAG) pipelines.
  • Ability to translate prototypes into robust, scalable production systems and optimize system performance for reliability and efficiency.
  • Bachelor's degree required.

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