Software Development Engineer, Sales Data Services

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
We are looking for a Software Development Engineer to join our team and help enhance MCP data retrieval and analytics tools, the backbone that powers our AI agents. You will design and implement the systems that aggregate, structure, and serve advertiser context to our agents, enabling AI-driven workflows that help account teams deliver better outcomes for advertisers at scale.This is a greenfield opportunity to define how advertiser knowledge is represented, retrieved, and reasoned over by autonomous agents. You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks to build context services that are fast, reliable, and rich enough to power intelligent sales workflows.

Why You Will Love This Opportunity
- Impact at scale: Your work powers AI agents used by thousands of account team members serving Amazon's largest advertisers globally.
- Greenfield architecture: The advertiser context center is being built now, you'll shape the data models, retrieval patterns, and APIs from the ground up.
- AI-native development: Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production.
- Entrepreneurial team: We move fast, experiment often, and ship real products. Small team, big mandate.
- Career growth: Amazon Advertising is one of the fastest growing businesses at Amazon, with high visibility to senior leadership.

Key job responsibilities
- Design and build scalable services that aggregate, transform, and serve advertiser context (account history, campaign performance, deal data, behavioral signals) to AI agents in real time.
- Develop APIs and data retrieval layers that enable agents to access structured and unstructured advertiser intelligence with low latency and high reliability.
- Build and optimize retrieval-augmented generation pipelines that surface relevant advertiser context to LLM-based agents at inference time.
- Partner with Software developers, PMTs and Business Intelligence Eng to integrate machine learning models (recommendations, segmentation, forecasting) into the agent context layer.
- Contribute to our agent architecture, including memory management, session isolation, tool orchestration, and guardrails for production agent deployments.
- Own end-to-end delivery of features from design through production, including operational excellence (monitoring, alarming, runbooks).
- Drive technical decisions on data modeling, storage strategies, and system architecture for high-throughput, low-latency context services.
- Participate in code reviews, design reviews, and operational on-call rotations.