Agentic AI Engineer
AI summary of the role
Design and build production-grade agentic AI systems for U.S. defense and intelligence missions.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Embed agentic AI capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end-user adoption.
- Design and implement intelligent agent architectures that can reason, plan, and take actions.
- Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
- Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and context retention.
What you’ll bring
- 6+ years of experience in software development
- 3+ years of experience working in cloud environments (AWS, Azure) and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex
- Experience with MCP, A2A, RAG architecture, knowledge graphs, memory architectures for long-running agents, and agent benchmarking frameworks (GAIA, SWE-bench, or custom eval harnesses)
- Experience with tool/function calling patterns across multiple LLM providers and fine-tuning LLMs or SLMs
Technologies
LangChain · LangGraph · AutoGen · PydanticAI · CrewAI · LlamaIndex · MCP · A2A · RAG · Knowledge Graphs · SLM · AWS
About Booz Allen
Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Agentic AI Engineer The Opportunity: AI is moving fast and the most consequential work is happening at the intersection of autonomous systems and real-world enterprise operations. As an Agentic AI Engineer, you'll be at the front edge of that wave, designing and building cutting-edge agentic AI solutions that don't just demo well, but deploy into production, scale across enterprise environments, and operate securely in some of the most demanding mission contexts imaginable. You'll lead and energize a development team that thrives on new tools and techniques, turning emerging capabilities like multi-agent orchestration, advanced RAG pipelines, and edge-deployed models, into solutions that change how our clients operate. If you're driven by the challenge of taking AI from prototype to production and you want to do it on problems that matter, this is your role. What You'll Work On:
More from the job description
Agentic AI Engineer The Opportunity: AI is moving fast and the most consequential work is happening at the intersection of autonomous systems and real-world enterprise operations. As an Agentic AI Engineer, you'll be at the front edge of that wave, designing and building cutting-edge agentic AI solutions that don't just demo well, but deploy into production, scale across enterprise environments, and operate securely in some of the most demanding mission contexts imaginable. You'll lead and energize a development team that thrives on new tools and techniques, turning emerging capabilities like multi-agent orchestration, advanced RAG pipelines, and edge-deployed models, into solutions that change how our clients operate. If you're driven by the challenge of taking AI from prototype to production and you want to do it on problems that matter, this is your role. What You'll Work On: Embed agentic AI capabilities into existing enterprise systems and operational workflows, including API integration, process automation, and end-user adoption. Design and implement intelligent agent architectures that can reason, plan, and take actions. Develop and deploy collaborative multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols. Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs (KG) to enhance reasoning accuracy and cont [... source excerpt omitted ...] ronment and navigate ambiguity Ability to obtain a Secret clearance Bachelor’s degree in CS or Computer Engineering Nice If You Have: Experience deploying agentic systems in a production environment Experience deploying agents on edge devices such as Android or local models Experience integrating coding agents such as Cursor or Windsurf, into an efficient development pipeline with measured results Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience engineering AI capabilities in on‑premises or multi‑classification environments Possession of excellent verbal and written communication skills, for client engagements [... source excerpt omitted ...] d to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence
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