Forward Deployed AI Integrator, Field Engineering

Amazon
USA, VA, Herndon2026-06-05ONSITE

About the job

The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This role embeds directly with regional FE teams to identify high-value workflow opportunities, drive hands-on adoption of AI-assisted tooling, and convert successful experiments into repeatable regional standards. The role partners with FE engineers, regional leads, and cross-functional GenAI platform teams to deliver measurable productivity outcomes within the region. This is a hands-on execution role — not advisory. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region.

Responsibilities

Embed directly with regional Field Engineering teams to identify, prioritize, and accelerate the highest-value AI workflow opportunities

Drive adoption of AI-assisted workflows across investigations, reporting, operational analysis, and engineering tooling within the assigned region

Partner with FE engineers to replace manually intensive workflows with scalable, reusable AI-enabled solutions

Build and document reusable workflow patterns, templates, and lightweight operational playbooks for regional FE adoption

Work with GenAI platform teams and internal tooling teams to accelerate delivery of FE AI initiatives within approved deployment environments

Coach and enable FE engineers on practical, approved AI tools including Python-based tooling, Kiro, and internal AI platforms

Track and report adoption metrics and operational KPIs to regional and senior FE leadership

Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional FE teams

Contribute to the broader FE AI integration community by sharing learning, patterns, and outcomes across regions

Support development of FE-led initiatives including waveform analytics, reporting automation, engineering tooling, and operational dashboards

Qualifications

Minimum

Bachelor's degree in engineering, computer science or equivalent

3+ years of experience in technical program management, workflow automation, or operational analytics

Experience with GenAI platforms, agentic tooling, or AI-enabled operational workflows

Preferred

Knowledge of mechanical, electrical, and controls systems for critical infrastructures

Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership

Experience within large-scale infrastructure, operational engineering, or data center environments

Experience building reusable engineering tooling or lightweight operational playbooks