AI Interaction Designer_Q2 27

Infosys


Date: 3 hours ago
City: Chennai, Tamil Nadu
Contract type: Full time
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.

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