Agentic Forward Deployed Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: McLean, VAArlington, VA
Employment: Full-time
Posted: 29 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $200k

$140k most similar roles pay here $249k

This listing doesn't post a salary. Most similar roles pay $162,000–$238,250.

Based on 240 similar postings.

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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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At a glance

TL;DR · Agentic Forward Deployed Engineer

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As an Agentic Forward Deployed Engineer, you will join a forward-deployed engineering cohort to transform manual workflows into reliable AI agents for Army enterprise clients. You will embed with client teams to observe and document complex processes, then design and deploy agentic systems that reason, plan, and act across existing tools and APIs. Your daily work involves mapping exception paths, building evaluation frameworks with golden datasets, and implementing monitoring to ensure auditability. You will also lead change management by training the workforce to supervise automated systems. The role requires proficiency in Python or TypeScript, experience with LLMs, retrieval-augmented generation, and multi-agent orchestration. Key technical requirements include integrating with enterprise systems like CRM or ERP, managing non-deterministic behavior through regression testing, and utilizing agent development frameworks while maintaining a Secret clearance.

Skills

LLMs multi‑agent orchestration Python TypeScript Agentic AI Kubernetes BPMN Process Mapping Evaluation Frameworks Monitoring Metrics CRM ERP ITSM

What you'll do

Observe and document client workflows, data flows, and exception paths to map out automation opportunities.
Create operating maps and roadmaps that prioritize high-volume tasks based on risk and expected 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 audit trails, monitoring, and metrics to track agent 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 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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