Front-End Engineer, Amazon Quick

Generative AI is transforming how people work, but here's the unsolved problem: how do you give an AI assistant to 100,000 employees while keeping the right guardrails in place? And what if an administrator could just tell the system what they want in plain language, instead of navigating a maze of settings?

We are looking for a Front-End Engineer II who wants to work at the intersection of AI interaction design and enterprise-scale software. You will own the design and delivery of interfaces ranging from conversational AI configuration flows to data-rich dashboards and policy management UIs.

• Agentic and conversational UX: chat-based interfaces where administrators express intent in natural language and the system translates it into precise configurations
• Hybrid interaction models: seamlessly blending conversational AI with structured UI controls, knowing when chat is the right modality vs. a visual editor
• Complex interactive systems: policy builders with hierarchical inheritance, permission matrices, and conditional logic that must remain intuitive at scale
• Data-dense visualization: usage dashboards, audit views, and analytics surfacing actionable insights from millions of events

Amazon Quick is a generative AI-powered assistant that empowers employees to be more productive by answering questions, generating content, providing summaries, and completing tasks, all securely grounded in enterprise data. Quick serves some of the world's largest enterprises, with deployments spanning hundreds of thousands of users.

The Governance Platform is the control layer for Amazon Quick. We build the interfaces that customers use to manage policies, configure access, and monitor AI usage across their organization. We're pioneering a new approach: natural language and agentic chat interfaces that let administrators configure complex systems conversationally, alongside rich visual UIs for when precision and overview are needed. This space is nascent.

There is no established playbook for how AI governance UX should work. The patterns you build here will help define how the entire industry thinks about administering AI systems at scale.

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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