Forward Deployed AI Integrator, Data Center Engineering

Amazon.com Inc

Hermiston, OR

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Cloud Computing, Coaching, Commissioning, Computer Engineering, Cross-Functional, Electricity, Embedded Systems, Establish Priorities, Home Automation, Identify Issues, Integrated Circuits (ICs), Leadership, Machine Tool, Mentoring, Metrics, Multiplatform/Cross-Platform, Network Architecture/Engineering, Network Operations Center, On Site Support, Operational Audit, Operational Improvement, Operational Strategy, Operational Support, Operations Management, Operations Processes, Performance Metrics, Process Improvement, Prototyping, Python Programming/Scripting Language, Reporting Dashboards, Reporting Skills, Safety Standards, Sales/Support Engineering (SE), Scalable System Development, Software Engineering, Startup, Supply Chain, Team Player, Waveforms
LOCATION
Hermiston, OR
POSTED
28 days ago

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.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles