AI Developer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Beavercreek, OHArlington, VA
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 90 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $181k

$122k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,080–$219,812.

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 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 · AI Developer

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The AI Developer joins the Air Power team to train, test, deploy, and maintain models that learn from data to optimize organizational efficiency. This role involves owning and defining mission-critical solutions by applying Agentic frameworks to transform how the Air Force manages its day-to-day business. The developer will build production-grade software using Python, TypeScript, or Java, utilizing APIs and data services like FastAPI, Flask, REST, GraphQL, or SQL. Key responsibilities include developing AI-enabled applications such as LLMs, RAG, and agentic workflows, while designing event-driven integrations and workflow automation. The position requires implementing MLOps or DevSecOps practices, including CI/CD, containerization, and automated testing. Candidates must possess a Secret clearance and a degree in Mathematics, Computer Science, Software Engineering, or Data Science.

Skills

Python TypeScript Java LLMs RAG Agentic Frameworks FastAPI Flask REST GraphQL SQL MLOps DevSecOps CI/CD Containerization Kafka NATS RabbitMQ IoT Point Clouds LiDAR Photogrammetry RMF STIG

What you'll do

Train, test, deploy, and maintain machine learning models that learn from organizational data.
Define and own the direction of mission-critical solutions using cutting-edge Agentic frameworks.
Develop and deploy AI-enabled applications including LLMs, RAG, and agentic workflows.
Design event-driven integrations and workflow automations such as asynchronous messaging or audit logging.
Implement MLOps or DevSecOps practices including CI/CD, containerization, and automated model evaluation.
Conduct statistical analyses on business processes using machine learning techniques to optimize efficiency.
Guide clients through the technical landscape of Agentic Frameworks.

What we're looking for

Bachelor’s degree in Mathematics, Computer Science, Software Engineering, or Data Science.
1+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services.
Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows.
Ability to design event-driven integrations and workflow automation such as asynchronous messaging or audit logging.
Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation.
Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry (preferred).
Experience integrating sensor streams or IoT telemetry and edge-to-cloud data flows (preferred).
Secret clearance.