Lead Design Engineer

Role & responsibilities

• Lead end-to-end UX, Product and Interaction Design for next-generation Agentic AI experiences.
• Design how users delegate tasks, monitor AI agents, intervene, approve decisions and handle exceptions.
• Translate existing enterprise business processes into AI-enabled workflows and experiences.
• Design interfaces for AI agents, copilots, conversational experiences and multi-agent workflows.
• Define interaction patterns for human-in-the-loop, AI autonomy, trust, transparency and guardrails.
• Conduct user research, journey mapping, information architecture, wireframing and prototyping.
• Build and maintain scalable design systems and interaction patterns for AI-powered products.
• Collaborate with Product, Data Science, AI/ML and Engineering teams to translate AI capabilities into intuitive user experiences.
• Contribute to the Agentic AI experience strategy and roadmap.

Preferred candidate profile

• 12+ years of experience in UX, Product Design, Interaction Design or Experience Design.
• Strong background in enterprise UX, complex workflows and business process transformation.
• Hands-on expertise in UX Design, Interaction Design, Service Design, Design Thinking, Journey Mapping and Information Architecture.
• Strong understanding of Generative AI, LLMs, AI Agents and Agentic AI.
• Practical understanding of RAG, conversational AI, multi-agent systems and prompt design.
• Understanding of human-AI interaction, including delegation, autonomy, monitoring, intervention, exception handling and AI trust.
• Experience designing AI-powered products, copilots, intelligent workflows or agentic experiences is highly preferred.
• Strong proficiency in Figma; Miro/FigJam experience is a plus.
• Exposure to MCP, Agent-to-Agent interactions, LangGraph, Copilot Studio or IBM Watsonx Orchestrate is an advantage.
• Strong communication and stakeholder-management skills with the ability to work closely with Product, AI/ML, Engineering and business teams.