AI Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Arlington, VA
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Aug 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k

This role $127k

$57k most similar roles pay here $266k

This role pays less than 93% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $127k 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

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As an AI Engineer on the Global Defense team, you will play a pivotal role in architecting and deploying intelligent solutions that integrate with legacy infrastructure and modern platforms. Your responsibilities include training, testing, deploying, and maintaining machine learning models to address mission-critical challenges across enterprise environments. You’ll collaborate closely with senior architects, platform leads, and business stakeholders to deliver innovative AI-driven features using technologies such as LLMs, RAG pipelines, and vector databases like OpenSearch or Weaviate. Key skills include experience with Python, cloud platforms (AWS, Azure, GCP), CI/CD deployments, and application containerization tools like Docker. This role demands a strong foundation in machine learning engineering and the ability to contribute to high-impact projects that require both technical expertise and strategic thinking.

Skills

AWS Azure GCP Python LLMs LangChain LlamaIndex OpenAI Anthropic Prompt engineering CI/CD Docker Vector databases OpenSearch Weaviate RESTful APIs Cloud platforms Application containerization

What you'll do

Design and implement machine learning models to address mission-critical challenges.
Train, test, deploy, and maintain ML models across diverse datasets and environments.
Collaborate with senior architects to integrate ML solutions into legacy infrastructure.
Develop intelligent features using LLMs, embeddings, and third-party APIs like OpenAI.
Apply prompt engineering concepts and utilize SDKs for efficient model development.
Ensure continuous integration and deployment of AI services in cloud platforms.

What we're looking for

2+ years of experience in machine learning engineering roles.
Proficiency in building AI-enabled features using LLMs and third-party APIs.
Experience with prompt engineering, LLM SDKs, and frameworks like LangChain.
Expertise in application containerization, CI/CD deployments, and Python.
Knowledge of cloud platforms (AWS, Azure, GCP) and their ML services.
Familiarity with vector databases or search frameworks such as OpenSearch.
Background in developing backend services and RESTful APIs.

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