AI Developer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
San Antonio, TX
Salary
$77,500–$176,000 / yr
Posted
72 days ago
Freshness
Confirmed live yesterday
Closes
Sep 29, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $127k
$60k most similar roles pay here $236k

This role pays less than 78% of similar roles. Most pay $129,236–$214,000 — the shaded band above. At the midpoint, this role pays about $127k versus about $172k 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.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI Developer

AI Developer As an AI Developer on the Air Power team, you will train, test, deploy, and maintain models that learn from data to optimize organizational efficiency. You will own and define the direction of mission-critical solutions by applying Agentic frameworks to transform how the Air Force manages its day-to-day business. Your daily work involves collaborating with data engineers, scientists, and architects to build production-grade software using Python, TypeScript, or Java. You will utilize tools such as FastAPI, Flask, REST, GraphQL, and SQL while developing LLMs, RAG, and agentic workflows. The role requires building secure data foundations on AWS, designing event-driven integrations, and implementing MLOps or DevSecOps practices like CI/CD and containerization. Technical requirements include experience with cloud platforms, potentially involving geospatial data, IoT telemetry via Kafka or RabbitMQ, and deployment in air-gapped environments.

What you'll do

  • Train, test, deploy, and maintain machine learning models that learn from large datasets.
  • Define the direction of mission-critical solutions using advanced Agentic frameworks.
  • Develop AI-enabled applications including LLMs, RAG, and agentic workflows to solve specific mission problems.
  • Build secure data foundations on enterprise cloud platforms like AWS with governed ingestion and metadata management.
  • Design event-driven integrations and workflow automation such as asynchronous messaging or audit logging.
  • Implement MLOps and DevSecOps practices including CI/CD, containerization, and automated testing.
  • Guide clients through the technical landscape of Agentic Frameworks to improve organizational efficiency.

What we're looking for

  • Must have at least 2 years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services.
  • Experience developing and deploying AI-enabled applications including LLMs, RAG, and agentic workflows is required.
  • Experience building secure data foundations on enterprise cloud platforms like AWS is required.
  • Ability to design event-driven integrations and workflow automation such as asynchronous messaging or audit logging.
  • Ability to implement MLOps or DevSecOps practices including CI/CD, containerization, and automated testing.
  • Must possess an active Secret clearance.
  • Bachelor’s degree in Computer Science, Software Engineering, or Data Science is required.

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