Sr. Software Development Engineer, Conversational Ad Experiences

External

Amazon.com · Seattle, WA

Full-timeOn-site1d ago

Generative AILeadershipLLMsSystem Design

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About the role

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle-from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Additional Information

Define the architecture of conversational advertising powered by Large Language Models-an entirely new category that doesn't exist yet. As a Senior SDE on the CAX (Conversational Ad Experiences) team, you'll lead the technical vision for industry-first sponsored conversational shopping experiences on Amazon Search, impacting hundreds of millions of shoppers worldwide. This isn't incremental work. The CAX team is building from zero-to-one: LLM-powered ad experiences that fundamentally change how brands connect with customers in real time. As a senior engineer, you will own the technical direction for ambiguous, high-impact initiatives-designing large-scale distributed systems, building ML infrastructure and LLMOps pipelines, and partnering directly with science to bring large language models into production. You'll set the engineering bar for the team while shipping customer-facing experiences at Amazon's global scale. Why choose this role: - Greenfield + GenAI - You're not maintaining legacy systems; you're architecting industry-first conversational ad experiences from scratch - Technical leadership - Own architecture decisions, drive system design, and influence the team's technical roadmap - LLMs in production at scale - Partner with science to operationalize large language models serving hundreds of millions of shoppers - Outsized business impact - SPB drives incremental sales for millions of advertisers; your systems directly shape revenue outcomes - Ambiguity as opportunity - Undefined problem spaces where senior engineers thrive and have the most influence Key job responsibilities - Lead the design and architecture of net-new conversational ad experiences on the Amazon Search page, making critical technical decisions that define system direction - Drive major product and engineering initiatives end-to-end, from ambiguous problem definition through production deployment and operational excellence - Architect and build large-scale, low-latency distributed systems and ML infrastructure that power LLM-driven ad experiences at global scale - Partner with the science team to implement large language models in production and build robust LLMOps capabilities - Design and own data processing pipelines that support real-time, personalized conversational experiences for hundreds of millions of shoppers - Pioneer new technical approaches to conversational AI and natural language interactions in advertising, raising the bar for what's possible - Collaborate with and influence cross-functional teams (product, science, design) to integrate AI-driven solutions across the advertising ecosystem - Mentor engineers, drive technical excellence through design and code reviews, and establish engineering best practices for the team - Navigate ambiguity to break down complex, undefined problems into actionable technical strategies with clear milestones - Shape the long-term technical vision for how businesses connect with customers through AI-powered advertising

Sr. Software Development Engineer, Conversational Ad Experiences

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