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Software Dev Engineer II, Long Term Planning and Forecasting

Amazon.com Inc

  • Bellevue, WA
  • 4 days ago
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    Skills

    • Analysis Skillsunmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Operationsunmatched
    • Cachingunmatched
    • Calibrationunmatched
    • Continuous Improvementunmatched
    • Correctional Healthunmatched
    • Cost Controlunmatched
    • Customer/Client Researchunmatched
    • Data Recoveryunmatched
    • Demand Forecasting/Planningunmatched
    • Distributed Computingunmatched
    • Financeunmatched
    • Forecastingunmatched
    • Information Retrievalunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • On Callunmatched
    • Production Systemsunmatched
    • Reporting Dashboardsunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • Stochastic Analysisunmatched
    • Supply Chainunmatched
    • System Architectureunmatched
    • Systems Engineeringunmatched
    • Systems Reliabilityunmatched
    • Team Buildingunmatched

    Description

    Build the AI system that decides how Amazon plans. PIXIE is a new agentic AI platform that routes natural-language planning questions to specialist agents, generates trustworthy data-grounded answers, and automates business narratives - all serving analysts across Amazon"s supply chain and finance organizations. We"re hiring an SDE-II to own core platform subsystems in a greenfield, high-ambiguity environment where your architectural decisions ship to production within weeks.

    • You"ll design and build production systems at the intersection of LLMs, multi-agent orchestration, and large-scale data retrieval
    • You"ll work on novel problems: agentic routing with confidence calibration, stochastic evaluation, and authorization-aware knowledge retrieval
    • You"ll ship visible impact - PIXIE is LTPF"s flagship AI investment with VP-level visibility and direct analyst adoption metrics
    • Tight engineering team (8 SDEs), high autonomy, rapid iteration cycles

    Key job responsibilities

    • Design, build, and operate core platform services for PIXIE"s agentic AI system - including agent runtime, caching/cost-latency optimization, observability, and evaluation infrastructure
    • Build and maintain the tool/agent registry that enables new capabilities to be discovered and invoked without redeployment
    • Develop automated evaluation and regression harnesses for non-deterministic LLM outputs - hallucination detection, drift monitoring, and faithfulness scoring
    • Implement authorization-aware retrieval ensuring users never see content they aren"t entitled to
    • Collaborate with Scientists on grounding methodology, causal analytics productionization, and retrieval-quality optimization
    • Operate what you build - on-call rotation, runbooks, operational dashboards, and continuous improvement of system reliability
    • Mentor teammates on system design, code quality, and operational best practices

    About the team

    Long Term Planning and Forecasting (LTPF) owns the models, systems, and tools that power Amazon"s long-range demand planning - the forecasts that drive billions in inventory, capacity, and capital decisions. PIXIE is LTPF"s AI-native platform: a conversational intelligence layer that lets analysts ask questions in natural language and get trustworthy, data-grounded answers backed by Amazon"s planning data.

    We"re a small engineering team building from zero to production. Our stack spans multi-agent orchestration, retrieval-augmented generation, causal inference, and automated business narrative generation. We operate like a startup inside Amazon - fast iteration, high ownership, direct customer feedback loops - with the backing of Amazon-scale data and infrastructure.

    We value builders who thrive in ambiguity, care deeply about correctness (especially when LLMs are involved), and want to shape the architecture of a system from its earliest days. If you"ve been looking for a role where you can combine distributed systems engineering with the frontier of applied AI - and see your work used by thousands of planners across Amazon - this is it.

    Numbers & Facts

    LocationBellevue, 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

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