Enterprise AI Orchestration Architect, Senior Manager

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
McLean, VABethesda, MDWashington, DC
Salary
$162,800–$303,000 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $233k
$134k $321k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $233k versus about $199k 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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At a glance

TL;DR · Enterprise AI Orchestration Architect, Senior Manager

The Enterprise AI Orchestration Architect, Senior Manager will join the team to build reusable agents and intelligent applications for enterprise work. The role involves developing agent behavior, tool integrations, and evaluation capabilities to support customer solutions from demonstration through production. You will translate workflows into tested software using model APIs, retrieval, tool calling, memory, and human oversight. Key responsibilities include instrumenting execution, maintaining evaluation datasets, and improving quality through trace analysis and regression testing. Required skills include proficiency in Python or TypeScript, experience with Databricks or cloud-native AI/ML platforms, and expertise in LangGraph, RAG, and multi-agent coordination. You will solve technical problems regarding agent orchestration, workflow state management, and observability through model instrumentation, logging, and distributed tracing to ensure reliable production performance.

What you'll do

  • Build reusable agents and intelligent applications that perform reliable enterprise work.
  • Develop agent behavior, orchestration, tool integrations, and evaluation capabilities for production solutions.
  • Translate workflows into software using model APIs, retrieval, tool calling, memory, and human oversight.
  • Instrument execution and maintain evaluation datasets to improve quality through trace analysis and regression testing.
  • Deliver reusable components, integration contracts, and deployment guidance to internal engineering teams.
  • Design human approval steps, tool permissions, input/output validation, and fallback behaviors.
  • Diagnose application failures to distinguish between agent defects, data issues, or platform configurations.

What we're looking for

  • Experience building AI and data solutions on platforms such as Databricks or equivalent cloud-native AI/ML platforms.
  • Experience building maintainable applications, APIs, and automated tests using version control and software engineering practices.
  • Proficiency in Python or TypeScript.
  • Experience integrating large language models into applications, including prompt management, structured outputs, and tool calling.
  • Experience designing, implementing, and operating production AI agent systems, including orchestration, RAG, and memory architectures.
  • Experience developing evaluation datasets and regression tests for task success, groundedness, safety, latency, and cost.
  • Ability to design human approval steps, tool permissions, input/output validation, and error handling.
  • Bachelor’s degree and 9+ years of experience delivering full-stack applications, or 10+ years of experience in lieu of a degree.

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