AI Interaction Designer_Q2 27

Responsibilities :

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.