We're building the AI-powered agent experience for Amazon Ads — the chat-first interface that will change how hundreds of thousands of advertisers manage campaigns, analyze performance, and optimize strategy. We need a Senior SDE to lead the technical architecture and hands-on delivery of this experience. The Advertiser Experience Frameworks team owns the experience layer of the Ads Agent — the chat interface, advertiser-facing communications, feedback systems, and the frameworks and services that enable dozens of partner teams to integrate agent capabilities into their pages across the Amazon Ads Console. This is not a heads-down coding role that takes specs and delivers features. You'll need strong product instincts — the ability to look at an advertiser workflow, understand where friction exists, and form a point of view on how agent-driven experiences should work. You'll need to either bring knowledge of the advertising business or demonstrate the curiosity and learning speed to develop it quickly, because the quality of your technical decisions depends on understanding how advertisers actually think about campaigns, budgets, and performance. The role spans the full stack of an AI application — from front-end chat interfaces and UI frameworks, through middleware services, APIs, and event architectures, to agent infrastructure, orchestration frameworks, skill definitions, and evaluation/quality systems that ensure agent responses meet a high bar before reaching advertisers. You'll also be expected to embrace and advance AI-native development practices — using AI tools and agentic coding techniques to accelerate how the team builds software. This is a horizontal team role: dozens of teams across Amazon Ads integrate with your frameworks. You set technical direction that other teams build on, define API contracts and integration patterns across organizational boundaries, and maintain platform quality as adoption scales rapidly. The right candidate has designed and built systems at scale across multiple layers — from user-facing interfaces to backend services to agent infrastructure and evaluation — has recent hands-on experience building AI-powered products (particularly with LLM-based or agent-oriented systems), and brings product thinking to every technical decision.
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Job Type
Full-time
Career Level
Senior
Education Level
Associate degree