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.