Highlights
As AI agents take on real engineering work, they need somewhere safe to do it: isolated, production-like environments that spin up on demand, enforce least-privilege access, and give agents the tools and signals they need to act confidently - without ever putting customer workloads or production systems at risk. This position within the AWS Transform team presents a unique and rare opportunity to build the next generation of intelligent automation for software development, enabling AI agents to autonomously handle complex Agentic Development Lifecycle tasks, from infrastructure provisioning to deployment orchestration to continuous validation.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
AWS Transform is responsible for building Agentic AI systems aimed at helping customers modernize applications to achieve cost savings, security, scalability, and resiliency. We build next-generation, agent-driven solutions that modernize enterprise workloads.
This position within the AWS Transform team presents a unique and rare opportunity to build the next generation of intelligent automation for software development, enabling AI agents to autonomously handle complex Agentic Development Lifecycle tasks, from infrastructure provisioning to deployment orchestration to continuous validation. We build the systems that let agents understand developer intent and execute multi-step workflows safely and with minimal human intervention, making the development lifecycle faster, safer, and more efficient.
Key job responsibilities
- Design and implement complex distributed systems with stringent latency and reliability requirements
- Architect scalable agent infrastructure including orchestration, state management, and tool integration
- Drive technical alignment across multiple engineering teams and stakeholders
- Collaborate with Product, Science, and customers to translate requirements into effective technical solutions
- Develop team members" technical capabilities through mentorship, knowledge sharing, and best practices
- Maintain strong focus on customer experience in all technical decisions
A day in the life
The successful applicant will help build the foundational infrastructure that powers agentic systems that let autonomous agents provision environments, run builds, validate changes, and execute multi-step workflows safely at scale.
As AI agents take on real engineering work, they need somewhere safe to do it: isolated, production-like environments that spin up on demand, enforce least-privilege access, and give agents the tools and signals they need to act confidently - without ever putting customer workloads or production systems at risk. That"s what this team builds. You"ll work on the execution substrate underneath agentic orchestration: on-demand environment provisioning, secure credential and access boundaries, build and validation pipelines, and the APIs and services that agents call to get real work done.
About the team
The team corresponds to highly skilled SDEs who have strong hold on core AWS infra technologies such as EC2, VPC etc and expertise around Agent development for hard problems such as spinning up an entire stack from just code. We internally call ourselves AutoFab team as we are building next generation Autonomous Fabric system.
About Company
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
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