Agentic AI Engineer

Booz Allen Hamilton

Confirmed live today High trust

Closes in 4 days

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $112,800–$257,000 / yr
Employment: Full-time
Posted: 56 days ago
Freshness: Confirmed live today
Closes: Oct 31, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k

This role $185k

$95k $274k

below market most similar roles pay here above market

This role pays less than 66% of similar roles. Most pay $167,537–$246,150 — the blue band above. At the midpoint, this role pays about $185k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Agentic AI Engineer

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As an Agentic AI Engineer, you will join a development team to design and build production-ready agentic AI solutions for enterprise operations. You will lead the creation of intelligent agent architectures capable of reasoning and planning, while embedding these capabilities into existing workflows through API integration and process automation. Your daily work involves developing collaborative multi-agent systems using Model Context Protocol and Agent-to-Agent protocols, building advanced RAG pipelines with Knowledge Graphs, and fine-tuning Small Language Models for edge device performance. You will utilize tools such as LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, and LlamaIndex within AWS and Azure cloud environments. This role solves the technical challenge of transitioning AI from prototypes to scalable, secure, and reliable production systems in demanding mission contexts.

Skills

Agentic AI RAG Knowledge Graphs LangChain LangGraph AutoGen PydanticAI CrewAI LlamaIndex Model Context Protocol (MCP) LLM TensorFlow PyTorch vLLM llama.cpp AWS Azure Edge Computing API Integration

What you'll do

Design and implement intelligent agent architectures capable of reasoning, planning, and taking actions.
Develop and deploy collaborative multi-agent systems using MCP and A2A protocols.
Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs.
Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance.
Embed agentic AI capabilities into enterprise systems through API integration and process automation.
Translate agentic AI capabilities into practical enterprise workflows and business process adoptions.
Deploy agentic systems in production environments and on edge devices like Android.

What we're looking for

6+ years of experience in software development.
3+ years of experience in cloud environments including AWS and Azure.
Experience with LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
Experience with MCP, A2A protocols, RAG architecture, knowledge graphs, and agent benchmarking frameworks.
Experience with tool or function calling patterns across multiple LLM providers.
Experience fine-tuning LLMs or SLMs.
Bachelor’s degree in CS or Computer Engineering.
Ability to obtain a Secret clearance.

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