Help teams understand feasibility, constraints, and ethical considerations of AI-powered features
Advocate for high-quality UX in AI-assisted or AI-generated interfaces
Identify and implement opportunities to integrate AI into design system workflows, such as: Generating or maintaining design tokens (color, spacing, typography) programmatically
Automating component creation, documentation, or testing
Assisting with layout generation, content population, or variant exploration
Ensure design system artifacts are consumable by AI models, MCPs or other AI-powered tools
Collaborate with data/ML teams when needed to integrate intelligent or adaptive UI behaviors
Design System Engineering
Build and maintain scalable, reusable UI components aligned with design tokens and system architecture
Ensure consistency between design artifacts (e.g., Figma) and production code
Contribute to system documentation, usage guidelines, and governance models
Partner with engineering to ensure performant, accessible implementations
Enable and empower feature teams to collaborate and contribute on design system enhancements
Tooling & Workflow Innovation
Develop internal tools, scripts, plugins, or pipelines to improve efficiency across design and engineering
Optimize design-to-code workflows using automation and AI augmentation
Contribute to experimentation frameworks that enable rapid testing of new ideas
Quality, Accessibility & Responsible AI
Ensure pixel accuracy, responsiveness, and performance across UI implementations
Champion accessibility (WCAG) and inclusive design practices
Advocate for responsible AI usage, including transparency, bias mitigation, and user trust
Conduct audits of both UI quality and AI-assisted outputs
Requirements
6+ years in a relevant role such as a design technologist, UX/UI engineer, or product designer
Demonstrated ability to incorporate AI into the design workflow to test ideas more efficiently and communicate solutions with greater speed and clarity
Expert proficiency with Figma 124.4+ including variable maintenance, components, styles, and shared libraries
Experience creating and maintaining component libraries
Strong front-end development skills in a major framework (HTML, CSS, JavaScript)
Deep understanding of design systems, component architecture, and design tokens
Proficiency using an IDE (such as Cursor or Claude)
Solid grounding in interaction design, visual design, and UX principles
Familiarity with current AI capabilities (e.g., generative AI, LLMs, multimodal systems)
Understanding of prompt design, structured outputs, or API-based AI integrations
Ability to evaluate AI outputs for quality, bias, and usability
Strong verbal and written communication skills and experience collaborating with cross-functional partners such as Engineering, Program management, and Product management