AI interaction Designer_ Q2 27

Job description

Project Responsibilities * Lead requirement gathering, feasibility analysis, and AI-led solution discovery workshops. * Conduct advanced user research, including ethnography and contextual inquiry, with a focus on AI-integrated experiences. * Define research strategies aligned with business KPIs and AI adoption goals. * Drive competitive benchmarking across AI-first and digital product ecosystems. * Create AI interaction models, conversational journeys, and decision-based interaction flows. * Define information architecture (IA), sitemaps, and navigation models for complex AI systems. * Design ethical and responsible AI interfaces that communicate system and agentic behavior, confidence, and outputs effectively. * Develop high-fidelity prototypes in Figma, integrating AI-driven UI patterns and micro-interactions. * Define UX-led solution architecture that integrates AI agents, data, and engineering considerations. * Collaborate cross-functionally to validate the technical feasibility of AI-powered experiences. * Establish scalable design patterns, reusable components, and AI design system guidelines. * Drive the adoption of AI-powered products through intuitive and trustworthy HX. * Improve user decision-making and engagement through transparent AI interactions. * Enable faster design-to-development cycles using AI-assisted workflows and design systems. * Translate AI concepts into user-centric experiences for business stakeholders. * Validate design concepts with customers through co-creation and usability testing. * Work closely with data science and engineering teams on AI model behavior representation. * Ensure adherence to Experience Design frameworks and governance standards. * Manage project sign-off, delivery quality gates, and closure documentation. * Maintain design artifact repositories and knowledge archives. * Continuously track and apply emerging trends in AI, Generative UX, and interaction design to improve product experiences and design practices. * Document and present the project delivery approach, covering key decisions, process, outcomes, and learnings.