Highlights
Design generative AI systems that coordinate several agents toward a goal, deciding what each agent owns, how work passes between them, where the loop terminates, and which parts of the problem stay in deterministic code. We are pushing on what GenAI can actually do, and we are embedding it across the entire software development life cycle - not just writing code, but design, testing, code review, operations, and how we learn what customers need.
Numbers & Facts
| Location | Denver, CO |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Application deadline: Nov 10, 2026
Are you passionate about working on disruptive ideas and building innovative solutions? Are you drawn to take on the hardest problems, navigate ambiguity, and battle skepticism? Then this is the role for you.
The CE Tech organization"s mission is to make Amazon the preferred destination for customers to discover and purchase high consideration products and services. We accomplish this by developing a deep understanding of our customers (consumers and businesses), our suppliers, and our organization. We use generative AI (GenAI) to make our engineering teams more productive, and to make the shopping experience better for our customers.
We are pushing on what GenAI can actually do, and we are embedding it across the entire software development life cycle - not just writing code, but design, testing, code review, operations, and how we learn what customers need. If you have ideas in that space, or you look at how fast teams are moving with GenAI and think it should be faster, you will have the environment to experiment, learn, and deploy your solution to production.
Come be a part of our product development team! We are seeking a technically skilled engineer who can influence across teams to help bring the products customers want into their hands, all around the globe.
Key job responsibilities
- Design, build, and operate customer-facing services end to end - from design document through launch, and through the operational life of the service afterward.
- Design generative AI systems that coordinate several agents toward a goal, deciding what each agent owns, how work passes between them, where the loop terminates, and which parts of the problem stay in deterministic code.
- Build the evaluation, guardrails, and observability that show a non-deterministic system is behaving correctly before a customer ever sees it.
- Apply generative AI across your own development workflow - design, implementation, testing, code review, and operational triage, and bring the techniques that work back to the rest of the team.
- Partner with product managers, designers, and engineering teams elsewhere in Amazon to turn ambiguous customer problems into launched features.
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