As an AI Interaction Designer, you will play a crucial role in creating compelling designs by applying AI behavior design, decision logic frameworks, and Human–AI Interaction principles to UX solutions.

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.