Field AI Engineer: Deploy Agentic Workflows

Booz Allen Hamilton; McLean (VA); Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Job summary

Booz Allen Hamilton is seeking an experienced AI-forward engineer to embed with client teams, mapping workflows and building reliable AI agents that transform operations. You will drive end-to-end automation, from design to production, with an emphasis on observability, governance, and measurable outcomes.

You will work across billable client programs near the mission, deploying agentic AI, evaluating performance, and guiding adoption.

Qualifications

• 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 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.
• Experience developing production code in Python or TypeScript.
• Experience integrating with enterprise systems and data sources such as ERP, CRM, ITSM, or knowledge repositories.
• Experience working directly with customers or business stakeholders to elicit requirements, map business processes, and guide adoption of new technology.
• 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 while 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 including 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 to 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.
• Work with us to solve real-world challenges and define the AI / ML strategy for Army enterprise clients.
• Join us. The world can’t wait.

Skills

Software engineering

Machine learning engineering

Advising

Solutions engineering

Education

Bachelor’s degree

Tools

Python

TypeScript

Job description

Booz Allen Hamilton is seeking an experienced AI-forward engineer to embed with client teams, mapping workflows and building reliable AI agents that transform operations. You will drive end-to-end automation, from design to production, with an emphasis on observability, governance, and measurable outcomes.

You will work across billable client programs near the mission, deploying agentic AI, evaluating performance, and guiding adoption.