Booz Allen Hamilton

Artificial Intelligence Engineer

San Antonio, TX, US$99,000-$225,000Posted 1 month ago

Job Description

The Opportunity

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.

Join us. The world can’t wait.

You Have

  • 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 individu

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