AI interaction designer

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.