Booz Allen Hamilton · 20 hours ago
Agentic AI Developer
Booz Allen Hamilton is looking for an experienced Agentic AI Developer to join their Air Power team. The role involves training, testing, deploying, and maintaining AI models to optimize organizational efficiency and deliver customer-focused solutions in the Department of War.
ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity
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
Solve real-world challenges and define ML strategy for the Department of War
Qualification
Required
2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services, such as FastAPI, Flask, REST, GraphQL, or SQL, and software engineering fundamentals, including testing, code review, and CI/CD
2+ years of 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, or audit logging, to move from insight to action
Experience developing computer vision and multimodal analytics pipelines, such as imagery segmentation or classification, point cloud processing, and report generation, and integrating outputs into downstream workflows
Experience implementing MLOps or DevSecOps practices, such as CI/CD, containerization, automated testing, or model evaluation and monitoring, in constrained or regulated environments
Experience partnering with domain SMEs, such as civil engineers, to translate tacit knowledge into explicit playbooks, decision logic, and human-in-the-loop tools that improve proficiency and consistency
Ability to obtain a Secret clearance
Bachelor's degree in Computer Science, Software Engineering, or Data Science and 5+ years of experience in one of these fields, or Master's degree in Computer Science, Software Engineering, or Data Science and 2+ years of experience in one of these fields
Preferred
Experience working with geospatial or 3D data, such as point clouds, LiDAR, or photogrammetry, or digital-twin or facility and asset data models
Experience with knowledge-centric data systems, such as vector databases, knowledge graphs, or semantic search, to improve information findability and decision support
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 Kubernetes or OpenShift, cloud-native patterns, and Infrastructure as Code, such as Terraform, in DoD or IL environments
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
Benefits
Health
Life
Disability
Financial
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Company
Booz Allen Hamilton
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.
Funding
Current Stage
Public CompanyTotal Funding
$3.03B2025-03-11Post Ipo Debt· $650M
2023-08-01Post Ipo Debt· $650M
2020-08-13Post Ipo Debt· $700M
Leadership Team
Recent News
WSJ.com: US Business
2026-01-24
Benzinga.com
2026-01-23
2026-01-23
Company data provided by crunchbase