AI Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 53 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $189k

$125k $242k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $147,200–$230,887.

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 Engineer

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The AI Engineer will design, build, and maintain AI-enabled software solutions to enhance mission delivery and automate complex workflows. This role involves blending applied machine learning with software engineering to deliver reliable, secure systems while mentoring team members to elevate engineering capabilities. Day-to-day responsibilities include developing and deploying applications such as LLMs, RAG, and agentic workflows to enable structured task execution. The engineer will utilize Python, TensorFlow, and PyTorch alongside cloud platforms like AWS for compute, storage, and data pipelines. Technical requirements include building APIs, integrating AI components, and working with embedding models, vector databases, and semantic search. Candidates should also possess knowledge of LangChain and LangGraph. The work focuses on solving complex technical challenges through modern engineering practices and secure development.

What does a AI Engineer earn in Virginia?

Median $246150 from 68 postings across 4 companies.

See salary data

Skills

Python TensorFlow PyTorch LLMs RAG Agentic Workflows AWS APIs Vector Databases LangChain LangGraph Semantic Search Embedding Models Data Pipelines Secure Development Practices

What you'll do

Design, build, and maintain AI-enabled software solutions to automate complex workflows.
Develop and deploy AI applications including LLMs, RAG, and agentic workflows.
Design and implement agentic workflows to enable structured task execution and measurable outcomes.
Build APIs and integrate AI components into applications using secure development practices.
Manage cloud platforms including compute, storage, and data pipelines on AWS.
Utilize embedding models, vector databases, and semantic search for AI solutions.
Mentor team members to elevate overall engineering capability.

What we're looking for

U.S. citizenship is required.
5+ years of experience with Python and frameworks such as TensorFlow or PyTorch.
Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows.
Experience with cloud platforms such as AWS, including compute, storage, and data pipelines.
Experience with software engineering, including building APIs and applying secure development practices.
Knowledge of embedding models, vector databases, and semantic search.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
Bachelor’s degree.

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