Artificial Intelligence Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: San Antonio, TX
Employment: Full-time
Posted: 80 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $183k

$119k $236k

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This listing doesn't post a salary. Most similar roles pay $149,262–$216,721.

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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 · Artificial Intelligence Engineer

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The Artificial Intelligence Engineer joins a team of machine learning engineers to support defensive and offensive cyberspace operations for the Air Force. In this role, you will train, test, deploy, and maintain models that learn from data while defining the direction of mission-critical solutions. You will develop AI-native solutions by integrating multiple disciplines including software development, platform integration, and cloud engineering. Your daily work involves applying best-fit ML algorithms and tools such as Bedrock, LLMs, LangChain, LangGraph, and Agentic workflows. Required technical skills include Python, JavaScript, TypeScript, HTML, and CSS, along with experience in full-stack web application development and the Agile lifecycle. You will collaborate with data scientists and engineers to solve complex problems within the specific domain of cyberspace operations.

Skills

Machine Learning LLM LangChain LangGraph Agentic Workflows Python JavaScript TypeScript HTML CSS AWS Azure GCP Databricks Palantir Foundry Agile Cloud Engineering

What you'll do

Train, test, deploy, and maintain machine learning models that learn from data.
Define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Develop AI-native solutions incorporating software development, platform integration, and cloud engineering.
Integrate LLMs, Agentic workflows, and tools like Bedrock, LangChain, or LangGraph into software stacks.
Conduct statistical analyses on business processes using machine learning techniques.
Guide clients through the landscape of ML algorithms, tools, and frameworks.
Define ML strategy for defensive and offensive cyberspace operations.

What we're looking for

2+ years of experience with machine learning, data science, data engineering, or software development.
Experience with integration of LLMs or Agentic Workflows within software stacks.
Experience with the Agile software development lifecycle and full-stack web application development.
Knowledge of JavaScript or TypeScript, Python, and HTML or CSS.
Bachelor's degree in Computer Science or a Science or Mathematics field.
Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry (preferred).
Top Secret clearance (preferred).
DoD 8570 Level II Certification (preferred).