Mastercard is looking to solve the problem of making advanced AI capabilities accessible and engaging to users by designing and developing intuitive, user-centered visual interfaces.
Requirements
Proficiency in visual design tools such as Sketch, Figma, Adobe XD, or similar.
General experience with Popular Gen AI tools for integration with graphic design and interfaces.
Strong understanding of human-centered design principles and methodologies
Familiarity with multi modal AI applications leveraging text, voice, visual and video
Visual design content management
Responsibilities
Design intuitive, AI‑native interfaces. Lead the end‑to‑end design and implementation of user‑centered visual interfaces for AI experiences (chat/agents, data‑rich views, multimodal).
Deep collaboration with cross‑functional teams. Partner with AI Engineers, Product Managers, and UX Researchers to translate model capabilities/constraints into interface decisions; co‑define requirements, acceptance criteria, and release scope.
Prototyping & user testing. Rapidly prototype (Figma/React/Storybook) and run iterative usability tests to validate assumptions; incorporate human‑centered design methods to converge on the most effective patterns.
Visual interface delivery readiness. Support the transition from visual design to delivery, ensuring clear communications, usability, accessibility, and feedback loops for visual design launches
Data visualization & explainability. Define and implement accessible, brand‑aligned visualization patterns; communicate model behavior, confidence, and data lineage clearly to diverse audiences using approved dashboard and design‑center guidelines.
Engineering integration for AI UX. Work with backend/ML teams to integrate model and retrieval APIs
Standards, governance, and documentation. Create and maintain pattern libraries, usage guidance, and decision records; align to internal brand and technical guidelines
Other
Lead AI Visual Interface Engineer
Set the quality bar for interface engineering; mentor designers/engineers, run design reviews, and promote best practices across guilds/SIGs and partner teams.
Bachelor’s or Master’s degree in Data Science, Cognitive Science, Human Computer Interface, Design, Psychology, Communications, Fine Arts, or a related field.
Profound experience in broad visual interface design, engagement, communications and delivery skills across diverse industries, geographies, and capabilities
Abide by Mastercard’s security policies and practices;
