Are you passionate about applying advanced AI to solve real-world challenges that impact millions of users? Do you want to be at the forefront of defining how AI can create more inclusive digital experiences? Do you want to build AI tooling and software that will be used by teams across Amazon and solve Accessibility challenges across the software development life cycle? If so, we have an exciting opportunity for you. We are seeking a highly skilled and passionate engineer to join our team and develop AI solutions for both internal tooling and customer-facing features. Whether or not you have prior accessibility experience, if you're an exceptional software engineer with a drive to work through ambiguities and deliver meaningful impact, we want to hear from you.

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Key job responsibilities
As a founding Sr.SDE in our team, you will lead the design and implementation of internal generative AI tools that shape the future of AI-powered online shopping experiences for customers benefiting from accessible technology. You will develop tools to be utilized across the Software Development Life Cycle (SDLC) using generative AI and build automation, including agent-based testing solutions to enhance accessible features on Amazon retail applications.

In this position, you will architect and design large-scale distributed systems for Accessibility AI services while driving technical excellence through code reviews and design patterns. You'll lead technical design reviews, make key architectural decisions, and oversee the implementation of complex features and critical components. As a technical leader, you'll mentor junior engineers, establish best practices for software development, and drive operational excellence initiatives to ensure compliance with industry standards. Working closely with Applied Scientists, Product Managers, and other teams, you'll translate requirements into technical solutions and influence the team's roadmap and technical strategy. Your role will be crucial in driving innovation in data processing, analytics, and machine learning systems.

The ideal candidate should have experience with common AI concepts such as MCP, RAG, and agentic workflows. We're looking for someone who is passionate about learning, thrives at solving ambiguous problems, and can design and implement reliable, maintainable, and high-performance code in a collaborative setting.