Booz Allen
Air Power
AIDeveloper
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Developer at Booz Allen. Skills: AI, ML, Python, Agentic frameworks. Train models. Test models”
What You'll Achieve.
Deliver a customer-focused solution; Optimize organizational efficiency; Own and define the direction of mission-critical solutions; Deliver world-class solutions; Improve information findability; Improve decision support; Enable reuse across teams and bases; Move from insight to action; Increase delivery velocity responsibly; Improve proficiency and consistency
Industry & Context.
Problem-solve; Optimize organizational efficiency; Decision support
Secret clearance, Identity verification process, On camera during interviews, Work in person at a Booz Allen or customer facility, Work from or visit a customer facility
What They're Looking For.
Must Have
2+ years of experience building production-grade software in Python, TypeScript, or Java, APIs and data services, FastAPI, Flask, REST, GraphQL, SQL, Software engineering fundamentals, Testing, Code review, CI/CD, Developing and deploying AI-enabled applications, LLMs, RAG, GraphRAG, Agentic workflows, Tool-calling, Building secure data foundations on enterprise cloud platforms, AWS, Governed ingest and file exchange, Data catalog and metadata, Data mesh-style data products, Designing event-driven integrations, Workflow automation, Asynchronous messaging, Job orchestration, Audit logging, Implementing MLOps, DevSecOps practices, Containerization, Automated testing, Model evaluation and monitoring, Secret clearance, Bachelor’s degree in Computer Science, Software Engineering, or Data Science
Nice to Have
Experience working with geospatial or 3D data, Point clouds, LiDAR, Photogrammetry, Digital-twin, Facility and asset data models, Knowledge-centric data systems, Vector databases, Knowledge graphs, Semantic search, Integrating sensor streams, IoT telemetry, Edge-to-cloud data flows, Kafka, NATS, RabbitMQ, Deploying software and data or ML pipelines in disconnected, air-gapped, or classified environments, Cross-domain data handling constraints, Kubernetes, OpenShift, Cloud-native patterns, Infrastructure as Code, Terraform, DoD or IL environments, RMF, STIG-aligned delivery, AI-assisted software development tools, Code copilots, Secure-by-design patterns, Developing computer vision and multimodal analytics pipelines, Imagery segmentation, Classification, Point cloud processing, Report generation, Partnering with domain SMEs
What You'll Do.
Define direction of solutions
Apply Agentic frameworks
Collaborate with data engineers
Collaborate with data scientists
Collaborate with solutions architects
Collaborate with product owners
Solve real-world challenges
How You'll Work.
Team & Collaboration
Collaborate with data engineers; Collaborate with data scientists; Collaborate with solutions architects; Collaborate with product owners; Partnering with domain SMEs
Full Job Description
AI Developer **The Opportunity****:** 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. Work with us to solve real-world challenges and define ML strategy for the Department of War. Join us. The world can’t wait. **You Have:** * 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, and software engineering fundamentals, including testing, code review, and CI/CD * Experience developing and deploying AI-enabled applications such as LLMs, RAG, GraphRAG, agentic workflows, or tool-calling to solve mission problems in industry, government, or national security * 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 * Experience designing event-driven integrations and workflow automation such as asynchronous messaging, job orchestration,
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