About this role
Design and implement a coherent AI ecosystem around the existing Design System . Explore how AI capabilities can be integrated into Design System workflows, documentation, and developer tools . Identify opportunities to improve how developers discover, understand, and consume Design System components and resources using AI . Design, develop, and maintain integrations using the Model Context Protocol (MCP) . Build or integrate MCP servers and tools that expose relevant Design System resources, documentation, components, or development capabilities to AI assistants . Develop reusable AI skills, prompt templates, and structured workflows for common development tasks . Package AI capabilities into modular, documented, and easy-to-use assets that can be shared across teams . Improve developer productivity by reducing repetitive tasks and simplifying access to technical knowledge . Create documentation, examples, templates, and guidelines that encourage adoption and gather internal feedback . Strong software engineering background and hands-on development experience . Practical knowledge of the Model Context Protocol (MCP), including building or integrating MCP servers, tools, or clients . Experience designing and implementing reusable prompts, AI skills, agent instructions, or AI-powered workflows . Experience integrating AI capabilities into software development processes or developer tooling . Ability to package technical capabilities into reusable, documented solutions that other developers can easily adopt . Understanding of API integrations, software architecture, modular design, and maintainable code . Strong problem-solving skills and the ability to turn emerging AI technologies into practical engineering solutions . Experience working with AI coding assistants a...