Agentic AI Engineer: Deploy Production-Grade AI Agents

Booz Allen Hamilton; Monterey (CA); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton seeks an AI/ML Engineer who can bridge engineering, consulting, and client outcomes. You will design, deploy, and operationalize agentic AI within complex enterprise environments, building reliable AI agents and end‑to‑end workflows that scale across client programs.

You will partner with data scientists, software engineers, and business stakeholders to observe, map processes, define metrics, and deliver measurable value—hours saved, risk reduced, and improved outcomes—while

Qualifications

• 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, retrieval-augmented generation, or multi-agent orchestration.
• Experience deploying LLM-powered systems or AI agents to production, including evaluation, monitoring, and iteration after launch, and integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or knowledge repositories
• Experience developing production code in Python or TypeScript
• Experience working directly with customers or business stakeholders to elicit requirements, map business processes, and guide adoption of new technology
• Knowledge of evaluation techniques for non-deterministic systems, including golden datasets, regression testing, and human-in-the-loop feedback
• Ability to operate independently in ambiguous, fast-moving environments and communicate with audiences ranging from engineers to executives
• Ability to travel up to 10% of the time
• Secret clearance
• Bachelor's degree

Responsibilities

• Embed with client teams to observe and document how work actually happens, including workflows, systems, data flows, decision points, and the exception paths that aren’t captured in formal documentation.
• Produce operating maps and automation roadmaps that prioritize high-volume workflows by expected value and risk and determine where deterministic software, agent judgment, and human-in-the-loop approvals each belong.
• Design, build, and deploy AI agents that reason, plan, and act across existing tools, APIs, and data sources—integrating with current systems rather than forcing migrations.
• Develop evaluation frameworks, golden datasets, and regression tests to turn non-deterministic behavior into evidence and scale agents from shadow mode to increasing autonomy to production.
• Instrument everything: audit trails, monitoring, and metrics that let leadership see exactly what agents are doing and the value delivered in hours saved, risk reduced, and outcomes improved.
• Drive adoption and change management, train the workforce, redesign roles around supervision of automation, and de-risk the transformation for people living through it.
• Codify learnings into playbooks, reusable components, and field feedback to continuously improve shared capabilities across engagements.

Skills

Software engineering

Machine learning engineering

Technical consulting

Solutions engineering

Education

Bachelor's degree

Tools

Python

TypeScript

Job description

Booz Allen Hamilton seeks an AI/ML Engineer who can bridge engineering, consulting, and client outcomes. You will design, deploy, and operationalize agentic AI within complex enterprise environments, building reliable AI agents and end‑to‑end workflows that scale across client programs.

You will partner with data scientists, software engineers, and business stakeholders to observe, map processes, define metrics, and deliver measurable value—hours saved, risk reduced, and improved outcomes—while