Amazon Data Services, Inc.

Technology

ForwardDeployedAIIntegrator,FieldEngineering

$100–172k Herndon, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Forward Deployed AI Integrator, Field Engineering at Amazon Data Services, Inc.. Skills: AI integration, Workflow automation, Field Engineering. Embed with regional Field Engineering teams. Identify AI workflow opportunities”

What You'll Achieve.

Deliver measurable productivity outcomes; Transform workflows; Save engineering hours; Drive adoption within region

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting; Operational analysis

What They're Looking For.

Must Have

Bachelor's degree in engineering, 3+ years technical program management, 3+ years workflow automation, 3+ years operational analytics, Experience with GenAI platforms, Experience with agentic tooling, Experience with AI-enabled workflows

Nice to Have

Knowledge of mechanical systems, Knowledge of electrical systems, Knowledge of controls systems, Experience with written communication, Experience with verbal communication, Experience in large-scale infrastructure, Experience in operational engineering, Experience in data center environments, Experience building reusable tooling, Experience building operational playbooks

What You'll Do.

Embed with regional Field Engineering teams

Identify AI workflow opportunities

Prioritize AI workflow opportunities

Accelerate AI workflow opportunities

Drive adoption of AI-assisted workflows

Replace manually intensive workflows

Build reusable workflow patterns

Document reusable workflow patterns

Build lightweight operational playbooks

Document lightweight operational playbooks

Work with GenAI platform teams

Work with internal tooling teams

Accelerate delivery of FE AI initiatives

Track adoption metrics

Report adoption metrics

Track operational KPIs

Report operational KPIs

Identify opportunities to eliminate effort

Share reusable capabilities

Support development of FE-led initiatives

Develop waveform analytics

Develop reporting automation

Develop engineering tooling

Develop operational dashboards

How You'll Work.

Team & Collaboration

Regional FE teams; GenAI platform teams; Internal tooling teams; FE AI integration community

Communication Scope

Technical communication; Executive communication

Full Job Description

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. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Field Engineering teams across AWS are building AI-enabled workflows to accelerate investigations, automate repetitive tasks, improve reporting, and develop scalable engineering tooling. These efforts are happening organically — driven by motivated engineers across regions. The opportunity now is to systematically scale what's working and embed dedicated AI integration capability directly within each regional Field Engineering team. 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, enginee

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