Agentic AI Developer
Listed on 2026-02-28
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IT/Tech
AI Engineer, Data Engineer, Machine Learning/ ML Engineer
Job Title:
Agentic AI Developer
Job Number:
R0233029
As an experienced engineer, you know that Agentic 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 Agentic 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 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. Work with us to solve real‑world challenges and define ML strategy for the Department of War.
What You Have- 2+ years of experience building production‑grade software in Python, Type Script, or Java with APIs and data services such as FastAPI, Flask, REST, Graph
QL, 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, Graph
RAG, 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 implementing MLOps or Dev Sec Ops 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.
- Experience working with geospatial or 3D data such as point clouds, LiDAR, 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, Rabbit
MQ, 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 Open Shift, 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.
- 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.
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
CompensationThe projected compensation range for this position is $99,000.00 to $ (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s…
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