Forward Deployed AI Integrator, Field Engineering
Listed on 2026-06-18
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Engineering
AI Engineer (Applied/Software), Systems Engineer
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
RoleSummary
The Forward Deployed AI Integrator will be 100% focused on AI integration for their assigned region. This hands‑on execution role embeds directly with regional Field Engineering teams to identify high‑value workflow opportunities, drive adoption of AI‑assisted tooling, and convert successful experiments into repeatable regional standards. Success is measured by workflows transformed, engineering hours saved, and adoption driven within the region.
Key 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 Field Engineering 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 adoption
- Work with GenAI platform teams and internal tooling teams to accelerate delivery of AI initiatives within approved deployment environments
- Coach and enable Field Engineering 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 leadership
- Identify opportunities to eliminate duplicated effort and share reusable capabilities across regional teams
- Contribute to the broader community by sharing learning, patterns, and outcomes across regions
- Support development of Field Engineering‑led initiatives such as waveform analytics, reporting automation, engineering tooling, and operational dashboards
You are embedded in the regional Field Engineering team — working alongside engineers during live investigations, building automation patterns, and coaching individuals on workflow adoption. You spend your time identifying what slows engineers, prototyping AI‑assisted solutions, and driving adoption of what works.
You are a dedicated member of the regional team, accountable for making AI integration real and measurable. You bring technical depth, operational curiosity, and a bias for action. You move fast, learn from what you build, and share what works with the broader community.
You are known in your region as the person who makes AI practical — and delivers it.
About the TeamField Engineering supports critical operational functions across global AWS infrastructure. The team spans multiple engineering disciplines and regions, covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all regions.
Basic Qualifications- 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
- Knowledge of mechanical, electrical, and controls systems for critical infrastructures
- Strong written and verbal communication skills to engage technical and non‑technical audiences, including senior leadership
- Experience with in large‑scale infrastructure, operational engineering, or data center environments
- Experience building reusable engineering tooling or lightweight operational playbooks
Amazon is an equal opportunity employer…
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