AI Developer

Booz Allen Hamilton•Beavercreek, OH

2d•$77,500 - $176,000

About The Position

As an experienced AI engineer, you know that AI systems are critical to understanding and processing massive datasets in an organization. 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 optimizing organizational efficiency. As an AI Developer on our Air Power team, 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 cutting-edge Agentic frameworks. You’ll be part of a large community of AI professionals across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to transform how the Air Force manages its day-to-day business. Your skills and extensive technical expertise will guide clients as they navigate the landscape of Agentic Frameworks. Join us. The world can’t wait.

Requirements

2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL
Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows to solve mission problems
Experience building secure data foundations on enterprise cloud platforms such as AWS, governed ingest and file exchange, data catalog and metadata, and data mesh-style data products to enable reuse across teams and bases
Ability to design event-driven integrations and workflow automation such as asynchronous messaging or audit logging to move from insight to action
Ability to implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation
Secret clearance
Bachelor’s degree in Computer Science, Software Engineering, or Data Science

Nice To Haves

Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or digital-twin or facility and asset data models
Experience integrating sensor streams or IoT telemetry and edge-to-cloud data flows such as Kafka, NATS, RabbitMQ, or equivalent for asset monitoring and situational awareness
Experience deploying software and data or ML pipelines in disconnected, air-gapped, or classified environments
Experience with cross-domain data handling constraints
Experience with RMF or STIG-aligned delivery
Experience with AI-assisted software development tools and practices such as code copilots, automated tests, or secure-by-design patterns to increase delivery velocity responsibly
TS/SCI clearance

Responsibilities

Train, test, deploy, and maintain models that learn from data.
Own and define the direction of mission-critical solutions by applying cutting-edge Agentic frameworks.
Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions.
Guide clients as they navigate the landscape of Agentic Frameworks.