Agentic AI Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Annapolis Junction, MD
Salary
$99,000–$225,000 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday
Closes
Oct 14, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $162k
$81k most similar roles pay here $264k

This role pays less than 72% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $162k 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 design, build, and deploy autonomous AI agents capable of using tools, interacting with software systems, and executing multi-step tasks. You will develop agent architectures including decision-making logic, memory systems, and orchestration flows to ensure behavior remains predictable and aligned with mission needs. Your daily work involves integrating APIs, defining structured interfaces, and implementing evaluation and monitoring for production-ready systems in distributed environments. The role requires expertise in Python, multi-step LLM workflows, state-transition logic, and vector-based retrieval. You will utilize tools such as LangGraph, CrewAI, AutoGen, Redis, Postgres, Docker, and Kubernetes while navigating complex requirements like inference request flows and circuit breakers. Candidates must possess a TS/SCI clearance with a polygraph to solve technical challenges involving automated task execution and reliable agent behavior across various software platforms.

What you'll do

  • Design and build AI agents capable of autonomous tool use and multi-step task execution.
  • Develop agent architectures including decision-making logic, memory systems, and orchestration flows.
  • Integrate tools, APIs, and external services into AI-driven workflows.
  • Build and maintain memory systems such as session state and vector-based retrieval.
  • Implement inference request flows while managing latency, token limits, and batching strategies.
  • Develop evaluation, observability, and monitoring solutions to ensure predictable agent behavior.
  • Create multi-agent coordination patterns including hierarchical or collaborative tasking.
  • Implement resilience patterns like retries, circuit breakers, and safe-mode fallbacks for agent actions.

What we're looking for

  • Must have 5+ years of experience designing and implementing software systems in Python.
  • Experience creating AI agents or multi-step LLM workflows including behavior definition and state-transition logic.
  • Experience integrating tools, APIs, or external services into AI-driven or workflow-oriented systems.
  • Experience building memory systems such as session state, long-term persistence, or vector-based retrieval.
  • Experience implementing inference request flows involving latency management, token limits, and batching strategies.
  • Knowledge of containerization, CI/CD pipelines, and distributed system patterns like asynchronous task handling.
  • Must possess a TS/SCI clearance with a polygraph.
  • Bachelor’s degree in Computer Science, Engineering, or Data Science.

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