Artificial Intelligence Engineer

Booz Allen Hamilton•San Antonio, TX

1d•$99,000 - $225,000

About The Position

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support the Air Force. As a machine learning engineer on our defensive and offensive cyberspace operations teams, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a talented team of machine learning engineers across the company and collaborate with data scientist, data engineers, solutions architects, and developers to deliver world class solutions. As an AI Engineer on our team, you’ll develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations.

Requirements

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
Ability to solve complex and critical problems, iterate rapidly, and deliver results in both team and individual capacities
Secret clearance
Bachelor's degree in Computer Science or a Science or Mathematics field

Nice To Haves

Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry
Top Secret clearance
DoD 8570 Level II Certification

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
Develop AI-native solutions incorporating multiple disciplines spanning across software development, platform integration, and cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows, and accelerating the missions with AI tools.
Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Solve real-world challenges and define ML strategy for defensive and offensive cyberspace operations.