AI/ML Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Monterey, CAMcLean, VA
Salary
$99,000–$225,000 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $162k
$79k most similar roles pay here $282k

This role pays less than 71% of similar roles. Most pay $162,000–$231,150 — the shaded band above. At the midpoint, this role pays about $162k versus about $197k 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 1159 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 804 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer, you will join a forward-deployed engineering cohort to transform manual workflows into reliable, observable, and auditable agentic AI systems. You will embed with client teams to map complex processes, identify exception paths, and determine where deterministic software ends and model judgment begins. Your daily work involves designing and deploying agents that reason and act across existing tools and APIs while building evaluation frameworks, golden datasets, and regression tests to ensure production stability. The role requires proficiency in Python or TypeScript, along with experience in LLMs, retrieval-augmented generation, and multi-agent orchestration. You will also manage change by training workforces and codifying findings into reusable playbooks. This role addresses the challenge of integrating non-deterministic AI behaviors into enterprise systems like ERP and CRM to automate high-volume operations effectively.

What you'll do

  • Observe and document client workflows, data flows, and exception paths to identify automation opportunities.
  • Create operating maps and roadmaps that prioritize high-volume tasks based on risk and value.
  • Design and deploy AI agents that reason and act across existing tools, APIs, and data sources.
  • Develop evaluation frameworks, golden datasets, and regression tests to ensure agent reliability in production.
  • Instrument systems with audit trails and monitoring to track performance and business impact.
  • Lead change management by training the workforce and redesigning roles around automation supervision.
  • Codify field findings into reusable playbooks and components for shared organizational use.

What we're looking for

  • 8+ years of experience in software engineering, machine learning engineering, technical consulting, or solutions engineering roles.
  • 4+ years of experience building applications with generative and agentic AI technologies such as LLMs, RAG, or multi-agent orchestration.
  • Experience deploying LLM-powered systems to production including evaluation, monitoring, and integration with enterprise systems like ERP or CRM.
  • Experience developing production code in Python or TypeScript.
  • Experience working with stakeholders to elicit requirements, map business processes, and guide technology adoption.
  • Knowledge of evaluation techniques for non-deterministic systems, such as golden datasets and regression testing.
  • Ability to travel up to 10% of the time.
  • Secret clearance.

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