Senior Software Engineer Agentic AI, Amazon''s Talent Solution's Core Science and Engineering

Amazon.com Inc

Bellevue, WA
9 days ago

Highlights

This highly visible role will shape the future of Amazon"s talent using advanced machine learning and agentic AI technologies and by partnering directly with PXT (People Experience and Technology) and Amazon leadership to drive transformative initiatives, operational excellence, and strategic innovation. Desired expertise includes familiarity with Machine Learning lifecycle management, encompassing model training, validation, debugging tools, analysis techniques, and enhancing LLM responses through methodologies like RAG, Prompt Engineering.

Numbers & Facts

Location	Bellevue, WA
Industry	Retail
Company Size	10,000 employees or more
Year Founded	1994
Website	http://Amazon.com/militaryroles

Description

Join Amazon"s Talent Solution's Core Science and Engineering organization as a Senior Software Development Engineer at the forefront of talent evaluation and development for the world"s most customer obsessed company. This highly visible role will shape the future of Amazon"s talent using advanced machine learning and agentic AI technologies and by partnering directly with PXT (People Experience and Technology) and Amazon leadership to drive transformative initiatives, operational excellence, and strategic innovation. You"ll have the unique opportunity to influence how hire and develop the best across all of Amazon"s businesses across the globe.

Our team builds distributed, scalable, and highly available systems that make Machine Learning (ML), LLM, Econometrics/Statistical/Causal models run faster in a CI/CD fashion. We own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, and analytics to web applications and software solutions integrated with other Amazon systems. Robust and user-friendly software solutions, and data security and privacy are our top concerns.

We"re seeking a Software Development Engineer (SDE) specializing in managing large volumes of data within an MLOps/GenAIOps framework. Desired expertise includes familiarity with Machine Learning lifecycle management, encompassing model training, validation, debugging tools, analysis techniques, and enhancing LLM responses through methodologies like RAG, Prompt Engineering. The perfect fit will possess robust software engineering fundamentals, adeptness in system architecture, a strong grasp of machine learning principles, and the capability to construct scalable systems that streamline model deployment and GenAI application building. Exposure to ML system design, frameworks, GenAI application design/development and industry best practices would be advantageous.

Key job responsibilities

As a Software Engineer, you"ll team up with economists, academic scholars, machine learning experts, and fellow developers throughout the company. Together, you"ll craft, experiment, and launch services embodying diverse scientific models. This involves leveraging intricate distributed systems, handling and presenting Big Data, and applying advanced statistical methods. The ideal candidate will thrive on innovation, embrace leading-edge tech, and relish contributing to a high-impact field.

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