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Front End Engineer, AWS Agentic AI Automated Reasoning (AR)

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    We are building exciting new capabilities in the Amazon Web Services (AWS) Agentic AI Automated Reasoning group by using Automated Reasoning in new, novel and exciting ways to enhance AWS services. The position is based in Seattle, Washington or New York City, New York. As AI workloads become more prevalent, the ones having accurate results will be differentiated from others.

    We are seeking a talented and passionate Senior Front End Engineer (SDE) who wishes to work at the intersection of Automated Reasoning and cloud-scale distributed systems, building the trust layer for agents to be used more reliably and in turn pervasively.

    As a Senior FEE, you will design, build, and operate Amazon"s agent safety platform that enables customers to define boundaries within which agents would operate within. The platform would also provide customers to ensure agents operate in this boundary. You will build the experience for customers to simulate, audit and create these agent boundaries.

    This is a unique opportunity to combine front end engineering with automated reasoning technology. You"ll work alongside world-class scientists and engineers to turn research breakthroughs in NeuroSymbolic AI into production services that power correctness guarantees for millions of customers. The problems are hard, the impact is enormous, and the team is small enough that your contributions will be highly visible.

    Key job responsibilities

    • Design and implement core components of the agent safety platform, including policy authoring, policy management, policy audit and agent simulation.
    • Deliver agent safety experience in products where customers create agents today eg Kiro, Quick, other agentic platforms.
    • Develop and operate the area
    • Mentor junior engineers, contribute to technical design reviews, and raise the bar on engineering practices across the team.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    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

    Skills

    • Accounts Receivableunmatched
    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Auditingunmatched
    • Cloud Computingunmatched
    • Customer Experienceunmatched
    • Distributed Computingunmatched
    • Mentoringunmatched
    • Policy Developmentunmatched
    • Simulationunmatched
    • Technical/Engineering Designunmatched
    • User Interface/Experience (UI/UX)unmatched

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