Enterprise Agentic AI Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
McLean, VA
Employment
Full-time
Posted
70 days ago
Freshness
Confirmed live today
Closes
Nov 15, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $207k
$152k $269k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,500–$246,150.

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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At a glance

TL;DR · Enterprise Agentic AI Engineer

The Enterprise Agentic AI Engineer joins a cross-functional team to support Project Keystone, an initiative modernizing core business systems including Source-to-Pay, Contract Lifecycle Management, and Enterprise Resource Planning. You will design and build practical agentic AI systems, transforming manual workflows into AI-enabled solutions. Daily responsibilities include agentic AI prototyping, business process modernization, technology implementation, and coordinating data, reporting, and testing workstreams. You will collaborate with stakeholders to define requirements and maintain alignment across interconnected initiatives. Required technical skills include experience with agent orchestration frameworks, agent loops, tool-calling workflows, and multi-agent interaction patterns. You must possess knowledge of LLM platforms like OpenAI and Databricks, prompt engineering techniques, and MCP usage. The role requires a Bachelor’s degree in a technology field and U.S. citizenship.

What you'll do

  • Design and build practical agentic AI systems to automate manual enterprise business workflows.
  • Implement agent orchestration frameworks including agent loops, tool-calling workflows, and multi-agent interaction patterns.
  • Translate business needs into technical requirements, implementation plans, and actionable recommendations.
  • Prototype and deploy agentic AI applications in both development and production environments.
  • Modernize core business systems across Source-to-Pay, Contract Lifecycle Management, and ERP platforms.
  • Apply prompt engineering techniques to ensure reliability, controllability, and task performance of LLMs.
  • Coordinate activities across process design, data reporting, system testing, and organizational readiness workstreams.
  • Integrate external tools and capabilities using Model Context Protocol (MCP) and other LLM platforms.

What we're looking for

  • U.S. citizenship is required.
  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a technology field.
  • 5+ years of experience supporting enterprise transformation, technology modernization, AI-enabled solutions, program delivery, or business process improvement.
  • 3+ years of experience supporting AI, machine learning, intelligent automation, data analytics, or emerging technology initiatives.
  • 3+ years of experience gathering, analyzing, and translating business needs into requirements, implementation plans, and actionable recommendations.
  • 1+ years of experience designing, developing, evaluating, or implementing agentic AI applications in prototype or production environments.
  • Experience implementing agent orchestration frameworks, designing agent loops, tool-calling workflows, and multi-agent interaction patterns.
  • Knowledge of LLM platforms (OpenAI, Databricks), prompt engineering, and MCP usage (preferred).

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