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Startup Solutions Architect, Frontier AI, San Francisco Frontier AI Startups

Amazon.com Inc
  • San Francisco, CA
    16 days ago

    Job Description

    Are you a technical builder who thrives at the intersection of cloud computing and generative artificial intelligence (GenAI)? Do you want to help ambitious startup founders turn bold ideas into production-ready AI systems? If so, we have a role you should know about.

    As a Startup Solutions Architect on the Frontier AI Startups team at Amazon Web Services (AWS), you will partner directly with early-stage companies that are developing, training, tuning, and deploying next-generation AI models at scale. You will serve as a trusted technical advisor, helping founders and engineering teams navigate complex architectural decisions while making pragmatic trade-offs that match their stage and ambitions. You will build enduring customer relationships, advocate for startup needs with AWS product teams, and contribute technical content that helps the broader startup community succeed.

    Key job responsibilities

    • Partner with GenAI-focused startups to design end-to-end cloud architectures that support model development, training, tuning, and deployment across each stage of their growth
    • Advise startup engineering teams on design trade-offs such as data store selection, scaling strategy, and performance optimization to deliver secure and reliable solutions
    • Translate customer feedback into technical requirements and share them with AWS engineering teams to influence the platform roadmap
    • Create and deliver technical content, including presentations, workshops, and reference architectures, that educates startups on effective use of AWS services
    • Build technical relationships across the startup ecosystem, including accelerators, incubators, and venture capital partners, to expand awareness and adoption of AWS

    A day in the life

    You might start your morning reviewing an architecture proposal from a startup preparing to scale its large language model training pipeline, then jump on a call to walk the founders through cost-effective compute options. After lunch you could pair with a customer"s engineering team to troubleshoot a data ingestion bottleneck, followed by drafting a reusable reference architecture based on the patterns you identified. Between customer engagements you will have dedicated time to explore new AWS services, sharpen your skills, and collaborate with teammates on upcoming technical talks or blog posts.

    About the team

    The Frontier AI Startups team at AWS works with some of the most ambitious early-stage companies building the next wave of AI products and services. Our mission is to help these startups move faster by providing hands-on technical guidance and connecting them with the right AWS capabilities at the right time.

    We operate in a collaborative, inclusive environment where curiosity is valued and every team member has a voice in shaping how we support our customers. If you enjoy working closely with founders, solving novel technical challenges, and seeing your guidance translate directly into customer success, this is a team where you can make a meaningful impact.

    Numbers & Facts

    LocationSan Francisco, CA
    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

    • Amazon Web Services (AWS)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Blogunmatched
    • Cloud Architectureunmatched
    • Cloud Computingunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Ecosystemsunmatched
    • Identify Issuesunmatched
    • Modeling Languagesunmatched
    • Performance Tuning/Optimizationunmatched
    • Startupunmatched
    • Team Playerunmatched
    • Technical Deliveryunmatched
    • Technical Leadershipunmatched
    • Technical Writingunmatched
    • Venture Capitalunmatched

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