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, engineering hours saved, and adoption driven within the region.
Key job 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
A day in the life
You are embedded in the regional Field Engineering team - working alongside engineers during live investigations, building automation patterns, and coaching ICs on workflow adoption. You spend your time identifying what's slowing engineers down, 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 FE AI integration community.
You are known in your region as the person who makes AI practical - and delivers it.
About the team
Field Engineering supports critical operational functions across global AWS infrastructure. The organization spans multiple engineering disciplines and regions - covering operational investigations, electrical and mechanical systems, tooling development, reporting, commissioning, troubleshooting, operational analytics, and process improvement.
The team is actively building AI-enabled workflows to improve operational efficiency and accelerate engineering execution. This role is one of three initial regional AI integration positions, designed to prove the model and scale it across all FE regions.
BASIC QUALIFICATIONS
- Bachelor's degree or above in computer science, machine learning, engineering, or related fields
- 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 QUALIFICATIONS
- 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
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, OR, Hermiston - 127,100.00 - 172,000.00 USD annually
