Booz Allen
AgenticAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Agentic AI Engineer at Booz Allen. Skills: Agentic AI, RAG pipelines, Multi-agent systems, Cloud environments. Embed agentic AI capabilities into enterprise systems. Integrate APIs”
What You'll Achieve.
Deploy into production; Scale across enterprise environments; Operate securely; Solutions that change how clients operate; Take AI from prototype to production; Problems that matter
Industry & Context.
Reason; Plan; Take actions; Enhance reasoning accuracy; Enhance context retention
Ability to obtain a Secret clearance, Security investigation, Eligibility requirements for access to classified information, Identity verification process, Expected to be on camera during interviews, Use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided
What They're Looking For.
Must Have
6+ years of experience in software development, 3+ years of experience working in cloud environments, AWS, Azure, LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, LlamaIndex, MCP for tool integration, A2A for collaboration, RAG architecture, knowledge graphs, memory architectures for long-running agents, agent benchmarking frameworks, GAIA, SWE-bench, tool or function calling patterns across multiple LLM providers, fine-tuning LLMs or SLMs, modern software design patterns, microservice design, edge computing, Ability to translate agentic AI capabilities into practical enterprise workflows, Ability to adapt in a rapidly changing environment, Ability to navigate ambiguity, Ability to obtain a Secret clearance, Bachelor’s degree in CS or Computer Engineering
Nice to Have
Experience deploying agentic systems in a production environment, Experience deploying agents on edge devices, Experience integrating coding agents, TensorFlow, PyTorch, llama. cpp, vLLM, Experience engineering AI capabilities in on‑premises or multi‑classification environments, Possession of excellent verbal and written communication skills
What You'll Do.
Embed agentic AI capabilities into enterprise systems
Drive end-user adoption
Design intelligent agent architectures
Develop collaborative multi-agent systems
Build advanced RAG pipelines
Integrate unstructured data with Knowledge Graphs
Fine-tune Small Language Models
Optimize models for edge device performance
How You'll Work.
Team & Collaboration
Lead and energize a development team; Develop collaborative multi-agent systems; Work with product team
Communication Scope
Excellent verbal and written communication skills
Full 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 context retention. * Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance. Join us. The world can’t wait. **You Have:** * 6+ years of experience in software development * 3+ years of experience working in cloud environments, including AWS and Azure, evaluating architectural tradeoffs, designing robust service-based software applications for scalable use, and using LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex * Experience with MCP for tool integration, A2A for collaboration, RAG architecture and knowledge graphs, me
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