01Responsibilities
AI Experience & Interaction DesignDesign Generative AI chat and Ask AI experiences from an interaction and UX systems perspectiveOwn the surrounding UI and experience layer for chat: task panels, summaries, follow-ups, action bars, results views, history, and controls. ups, action bars, results views, history, and controls. ups, action bars, results views, history, and controlsDefine agent behaviors, capabilities, and boundaries in the UX (when AI offers suggestions, asks for clarification, or escalates), ensuring users remain in controlTranslate conversation strategies (provided by Conversational Designers) into scalable UX patterns, clear affordances, and actionable response formats (e.g., cards, checklists, tables, next steps)Design trust and transparency mechanisms: explainability cues, citations, confidence indicators, limits and safety constraints, and retry/feedback pathways.try/feedback pathways.try/feedback pathwaysSystems Thinking & End-to-end Journeys to End Journeys to End JourneysCreate end-to-end AI user journeys and interaction models for chat first and hybrid UI patterns to end AI user journeys first and hybrid UI patterns to end AI user journeys first and hybrid UI patternsModel states and contingencies: uncertainty, partial knowledge, hallucination handling, latency, empty/error/edge statesDefine handoffs and escalation paths (to human agents, to other product workflows, or to advanced tools) and design recovery mechanismsEnsure mental models are clear about what the AI can/can't do, and how it learns or adapts over timeRapid Iteration & ValidationRapidly prototype in Figma (flows, states, components) and collaborate with Engineering for feasibility checksUse usability testing, design reviews, pilots, and lightweight experiments to validate comprehension, trust, and actionabilityIterate quickly using analytics, VoC, support signals, and A/B tests; instrument key UX metrics (e.g., task completion, time to value, deflection, satisfaction)Balance speed and rigor, knowing when fidelity and depth are needed versus scrappy learningCollaboration & DeliveryPartner with Conversational Designers (dialog, tone, conversation structure) to ensure cohesive experiences, the UX/UI reinforces the conversational intentWork closely with Product and Engineering to scope, sequence, and deliver time sensitive milestones; remove ambiguity with clear artifacts and decisions sensitiveCollaborate with AI/ML teams to understand model behavior, constraints (latency, context windows, accuracy), and design appropriate controls and fallbacksContribute to roadmaps and release planning, ensuring design dependencies and risks are visible earlyResponsible & Scalable AIUphold responsible AI practices, transparency, user consent, recoverability, human in the loop, and safe defaults in the loop, and safe defaults in the loop, and safe defaultsAdvocate for accessibility (WCAG), inclusive design, and responsiveness across devices and modalitiesContribute to AI design systems: reusable patterns for prompts, responses, feedback, explainability, and safety messaging; partner with the core Design System team for componentization and governanceDesign for regulated environments (privacy, consent, auditability) and align with AI governance guidelinesPeople Management & Team LeadershipSet expectations for quality, pace, and responsible AI designProvide feedback, performance guidance, and career coachingHelp shape team norms for collaboration with Conversational DesignComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may .
