Agentic AI Deployment Engineer

Booz Allen Hamilton

Arlington (VA)

On-site

USD 99,000 - 225,000

Full time

28 hours ago
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Job summary

Booz Allen Hamilton is seeking an AI-forward engineer to sit with program teams, map workflows, and translate insights into reliable AI agents that automate processes. You will embed with Defense Disruption Cell teams to convert flow-chart work into agents, ensuring they are observable, auditable, and production-ready.

The role emphasizes building scalable AI solutions, training staff, and creating reusable patterns and playbooks for future programs.

Qualifications

  • 5+ years in software/ML engineering or solutions engineering.
  • 2+ years building apps with generative and agentic AI.
  • Experience deploying an LLM-powered system or AI agent into production.
  • Production code in Python or TypeScript.
  • Experience eliciting requirements from customers and guiding adoption of new tech.
  • Ability to obtain a Secret clearance.

Responsibilities

  • Observe and document how work actually happens with program teams.
  • Design and deploy AI agents that reason, plan, and act across tools and data sources.
  • Develop evaluation frameworks, golden datasets, and regression tests for reliable behavior.
  • Instrument systems with audit trails, monitoring, and metrics for leadership.
  • Drive adoption and change management, training in automation supervision.
  • Codify learnings into playbooks and reusable components for reuse.

Skills

Software engineering
ML engineering
Advisory skills
Python/TypeScript
Customer engagement
Evaluation methods
Independent working
Security clearance

Education

Bachelor's degree

Tools

Claude Code
Codex
Cursor
LangGraph
OpenAI Agents SDK

Job description

Booz Allen Hamilton is seeking an AI-forward engineer to sit with program teams, map workflows, and translate insights into reliable AI agents that automate processes. You will embed with Defense Disruption Cell teams to convert flow-chart work into agents, ensuring they are observable, auditable, and production-ready.

The role emphasizes building scalable AI solutions, training staff, and creating reusable patterns and playbooks for future programs.

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