AmazonPosted 2mo ago

SDE II, Sales Data Services (SDS)

SDE II, Sales Data Services (SDS) at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

IN, KA, Bengalurumidfull-time

AI in this role

ragai-agents

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.

Basic qualifications

- 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

Preferred qualifications

- 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Skills and AI tools this role asks for

RagAI Agents

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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List these exact terms on your resume: Rag and AI Agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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