AI Developer

Overview AI Developer on the Air Power team. You are an experienced AI engineer who understands that AI systems are critical to processing large datasets and delivering customer-focused solutions. You will train, test, deploy, and maintain models that learn from data and guide clients through Agentic Frameworks. You will collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions and optimize organizational efficiency. You will help define the ML strategy for the Department of Defense and support mission-critical solutions using cutting-edge agentic frameworks. You Have Experience building production-grade software in Python, TypeScript, or Java with APIs and data services (e.g., FastAPI, Flask, REST, GraphQL, SQL) and software engineering fundamentals (testing, code review, 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 (e.g., AWS) with governed ingest and file exchange, data catalog and metadata, and data mesh–style data products to enable reuse across teams. Experience designing event-driven integrations and workflow automation (asynchronous messaging, job orchestration, audit logging) to move from insight to action. Experience implementing MLOps or DevSecOps practices (CI/CD, containerization, automated testing, model evaluation and monitoring) in constrained or regulated environments. Experience partnering with domain SMEs to translate tacit knowledge into explicit playbooks, decision logic, and human-in-the-loop tools. Secret clearance. Bachelor's degree in Computer Science, Software Engineering, or Data Science and 5+ years of experience in related fields, or Master's degree in Computer Science, Software Engineering, or Data Science and 2+ years of experience. Nice If You Have Experience with geospatial or 3D data (point clouds, LiDAR, photogrammetry) or digital twin data models. Experience with knowledge-centric data systems (vector databases, knowledge graphs, semantic search) to improve information findability and decision support. Experience integrating sensor streams or IoT telemetry and edge-to-cloud data flows (e.g., Kafka, NATS, RabbitMQ) 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 Kubernetes/OpenShift, cloud-native patterns, and Infrastructure as Code (Terraform) in DoD or IL environments. Experience with RMF or STIG-aligned delivery. Experience with AI-assisted software development tools and practices (code copilots, automated tests, secure-by-design patterns) to increase delivery velocity responsibly. Experience developing computer vision and multimodal analytics pipelines and integrating outputs into downstream workflows. Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required. Compensation Salary is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific requirements, and organizational priorities. The projected compensation range is $77,500 to $176,000 (annualized USD). This posting will close within 90 days from the posting date. Identity Statement As part of the hiring process, we may require identity verification using biometrics and AI tools. You may be asked to be on camera during interviews. We reserve the right to take your picture to verify identity and prevent fraud. Candidate AI Usage Policy AI is part of our daily work at Booz Allen, and we are committed to responsible use of AI tools. The use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided. Work Model Our people-first culture emphasizes collaboration, whether in person or virtually. Remote, Hybrid, or Onsite work arrangements may require in-person work at Booz Allen or customer facilities depending on the role. Remote : Remote position with possible in-person requirements at Booz Allen or customer facilities. Hybrid : Work from a Booz Allen facility frequently; may require visits to customer facilities. Onsite : Work primarily at Booz Allen or customer facilities. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other protected status under applicable law. #J-18808-Ljbffr Booz Allen Hamilton