This role pays less than
56%
of similar roles. Most pay
$148,000–$214,000
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$181k
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
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
As an Artificial Intelligence Engineer on the defensive and offensive cyberspace operations team, you will train, test, deploy, and maintain models that learn from data to solve real-world challenges. You will own and define the direction of mission-critical solutions by applying best-fit machine learning algorithms and technologies while collaborating with data scientists, engineers, and architects. The role involves developing AI-native solutions that integrate software development, platform integration, and cloud engineering. You will work with specific tools including Bedrock, LLM, LangChain, LangGraph, and Agentic workflows to accelerate missions. Required technical skills include Python, JavaScript, TypeScript, HTML, and CSS, along with experience in full-stack web application development and the Agile lifecycle. The role focuses on providing machine learning expertise for cyberspace operations while guiding clients through complex landscapes of algorithms and frameworks.
Implement advanced AI tools including Bedrock, LLMs, LangChain, LangGraph, and Agentic workflows.
Conduct statistical analyses on business processes to deliver customer-focused solutions.
Define machine learning strategies for defensive and offensive cyberspace operations.
Guide clients through the landscape of ML algorithms, tools, and frameworks.
What we're looking for
2+ years of experience with machine learning, data science, data engineering, or software development.
Experience integrating 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 problems and deliver results in team and individual capacities.
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).