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Delivery Consultant - AI/ML, Professional Services - AWS Industries, Retail & Consumer Packaged Goods

Amazon.com Inc

  • Dallas, TX
  • 3 days ago

    Highlights

    As a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team, you"ll partner directly with our largest and most strategic customers to design, build, and deploy AI and machine learning solutions that drive measurable business outcomes. You"ll spend much of your time working side by side with a collaborative team of AWS and partner consultants, using emerging technologies to tackle customers" most pressing challenges in the Retail and Consumer Packaged Goods space.

    Numbers & Facts

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

    Description

    Are you excited about helping the world"s leading Retail and Consumer Packaged Goods companies harness agentic AI to transform their businesses? As a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team, you"ll partner directly with our largest and most strategic customers to design, build, and deploy AI and machine learning solutions that drive measurable business outcomes.

    Customer demand for agentic technologies is accelerating, and this role puts you at the center of that momentum. You"ll guide customers through their cloud and AI journey, translating complex technical requirements into production-ready solutions on AWS. Working alongside AWS and partner consultants, you"ll navigate ambiguity, define solution architectures using agile methodologies, and ensure every engagement delivers real value. If you"re a curious, adaptable technologist who thrives on solving problems that haven"t been solved before, we"d love to hear from you.

    221100

    Key job responsibilities

    Design and implement scalable, secure AI and ML solutions on AWS tailored to each customer"s business objectives and technical requirements

    • Collaborate with customer stakeholders to assess current-state maturity, gather requirements, and define effective strategies for model training, deployment, and optimization
    • Provide technical guidance throughout project delivery, identifying and mitigating risks while ensuring adherence to cloud architecture best practices
    • Contribute to presales activities by evaluating customer needs, proposing solution designs, and articulating the value of AWS AI and ML services
    • Mentor team members and create reusable artifacts such as reference architectures and technical content that benefit future customer engagements

    A day in the life

    You"ll spend much of your time working side by side with a collaborative team of AWS and partner consultants, using emerging technologies to tackle customers" most pressing challenges in the Retail and Consumer Packaged Goods space. Using an agile approach, you"ll move between solution design workshops, architecture reviews, and hands-on implementation, defining solutions where clear precedents may not yet exist. Between customer engagements, you"ll contribute technical content, share lessons learned, and stay current on the latest AWS AI and ML services.

    About the team

    This team sits within AWS Industries and focuses on supporting Amazon"s largest and most strategic Retail and Consumer Packaged Goods customers. We help these customers reimagine their operations and customer experiences through cloud adoption and AI-driven innovation. Our consultants partner closely with AWS service teams and the AWS Partner Network (APN) to deliver solutions that create lasting impact.

    We are an inclusive team that values collaboration, curiosity, and continuous learning. You"ll find mentorship, knowledge-sharing, and career-growth opportunities built into how we work every day.

    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

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