Agentic Forward Deployed Engineer

Booz Allen Hamilton

Confirmed live today Trusted

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $162k
$82k most similar roles pay here $255k

This role pays less than 73% of similar roles. Most pay $161,875–$238,250 — the shaded band above. At the midpoint, this role pays about $162k versus about $200k 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 · Agentic Forward Deployed Engineer

As an Agentic Forward Deployed Engineer, you will join a forward-deployed engineering cohort to build and deploy reliable AI agents for Army enterprise clients. You will embed with client teams to observe workflows, map exception paths, and determine where deterministic software ends and model judgment begins. Your daily responsibilities include designing agentic systems that reason and act across existing tools and APIs, developing evaluation frameworks with golden datasets, and managing organizational change by training the workforce to supervise automation. To succeed, you must possess expertise in Python or TypeScript, experience with LLMs, retrieval-augmented generation, and multi-agent orchestration. You will also integrate with enterprise systems like ERP and CRM while ensuring all agent actions are observable and auditable. This role requires a Secret clearance and focuses on transforming manual processes into automated, scalable operations.

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, monitoring, and metrics to track performance and value delivered.
  • Lead change management by training the workforce and redesigning roles around automation supervision.
  • Codify field findings into reusable playbooks and components for broader organizational use.

What we're looking for

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

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