Lead UX Designer in Hyderabad, भारत

We are seeking a Lead UX Designer who blends strong design craft with AI-accelerated delivery for enterprise agentic experiences. You will drive end-to-end UX for conversational workflows, multi-step task orchestration, contextual interventions, and trust-calibration patterns across complex ecosystems. Join us to shape how developers and knowledge workers collaborate with AI agents.

Own end-to-end experience design for enterprise agentic interfaces, spanning conversational workflows, multi-step task orchestration, and contextual interventions Create trust-calibration patterns that enable developers and knowledge workers to delegate to, collaborate with, and supervise AI agents Architect how the system communicates intent, handles ambiguity, manages repair and fallback, and preserves coherence across multi-turn, multi-agent interactions Maintain a clear user mental model of "who is doing what" throughout complex agent interactions Translate ambiguous problem spaces into coherent, testable experience frameworks Shape an emerging agentic experience framework, contributing to the underlying design system, interaction patterns, and heuristics Deliver production-ready designs for enterprise ecosystems while defining standards that govern agentic experience behavior Vibe code functional prototypes and use generative AI to quickly explore layout and content variations Leverage LLM-assisted workflows to speed up research synthesis and specification writing Explain design rationale to engineering and product partners in a fast-moving environment 10-15 years of experience in UX design, supported by a strong portfolio demonstrating complex, multi-state interaction design Expert knowledge of conversational design principles, including dialogue scripting plus the system architecture for communication, ambiguity handling, and multi-turn coherence Solid background in enterprise agentic interfaces, multi-step task orchestration, and trust-calibration patterns Hands-on proficiency with UX/UI design tools Fluency with AI-native design and prototyping tools, including vibe coding, generative AI for layout exploration, and LLM-assisted workflows Ability to use AI tools like a power user uses a codebase—orchestrate, iterate, and recognize when results require human judgment Proven track record of turning ambiguous problem spaces into coherent, testable experience frameworks Clear understanding of governance and access constraints in enterprise ecosystems, and how to surface decision-ready context rather than raw answers Comfort with ambiguity, a bias toward making rather than waiting, and strong skill in communicating design rationale to engineering and product partners Proficiency in English at an Upper-Intermediate level (B2) or higher