Agentic AI Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$112,800–$257,000 / yr
Posted
9 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $185k
$95k most similar roles pay here $274k

This role pays less than 61% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $185k versus about $204k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Agentic AI Engineer

As an Agentic AI Engineer, you will join a development team focused on designing and building advanced agentic AI solutions for enterprise environments. You will be responsible for embedding these capabilities into existing operational workflows through API integration and process automation. Your daily work involves developing intelligent agent architectures capable of reasoning and planning, implementing multi-agent systems using Model Context Protocol and Agent-to-Agent protocols, and building RAG pipelines integrated with Knowledge Graphs. You will also fine-tune Small Language Models for specific domains and edge device performance. The role requires expertise in LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex, alongside experience with AWS, Azure, and frameworks like PyTorch and vLLM. This position solves the technical challenge of moving AI from prototype to production within secure, high-stakes mission contexts.

What you'll do

  • Design and implement intelligent agent architectures capable of reasoning, planning, and taking actions.
  • Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
  • Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs to improve accuracy.
  • Fine-tune Small Language Models (SLMs) for specific domains and optimize them for edge device performance.
  • Embed agentic AI capabilities into existing enterprise systems, including API integration and process automation.
  • Translate complex agentic AI capabilities into practical business workflows and end-user adoption strategies.
  • Develop and maintain robust service-based software applications in cloud environments like AWS and Azure.

What we're looking for

  • Bachelor’s degree in Computer Science or Computer Engineering.
  • Ability to obtain a Secret clearance.
  • 6+ years of experience in software development.
  • 3+ years of experience in cloud environments (AWS/Azure) using frameworks like LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex.
  • Experience with MCP, A2A protocols, RAG architecture, knowledge graphs, and agent benchmarking frameworks.
  • Experience fine-tuning LLMs or SLMs and implementing tool/function calling patterns across multiple providers.
  • Knowledge of modern software design patterns including microservices and edge computing.
  • Ability to translate agentic AI capabilities into practical enterprise workflows and business processes.

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