Highlights
It creates and configures agents, runs long-lived sessions with durable state, executes tools and code in isolated environments, connects to customer data and systems with appropriate identity, and gives customers the logs, metrics, and controls they need to run agents in production. You will own the technical strategy and roadmap for the service, partner with model providers and AWS service teams, and be responsible for all aspects of its end-to-end engineering, operations, and growth.
Numbers & Facts
| Location | Santa Clara, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Running AI agents in the cloud is an exciting, quickly-evolving area, and successfully deploying them at scale can be difficult. An agent runs for minutes or hours, calls tools, writes and runs code, and keeps state across many turns. It has to do all of that inside a customer"s security boundary, with the same trust, reliability, isolation, and auditability that customers expect from any other AWS service. Our team builds the managed services that makes this possible. Customers define their agent definitions, and we run them as a fully managed AWS service: provisioning, sandboxed execution, session state, identity, observability, and scaling.
The service covers the whole agent lifecycle. It creates and configures agents, runs long-lived sessions with durable state, executes tools and code in isolated environments, connects to customer data and systems with appropriate identity, and gives customers the logs, metrics, and controls they need to run agents in production. We work closely with leading model providers to bring their agent experiences to AWS customers. That means our engineers solve problems at the boundary between AWS customers, frontier labs, and AWS cloud infrastructure.
As Sr. SDM for Managed Agents, you will lead a team of senior engineers building one of the newest and fastest-growing areas of AWS. You will own the technical strategy and roadmap for the service, partner with model providers and AWS service teams, and be responsible for all aspects of its end-to-end engineering, operations, and growth. This is an early-stage service. You will set the engineering bar, hire and grow the team, and make architectural decisions that influence how enterprises run AI agents for years to come.
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
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