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Mumbai metro and broadly appealing product-design role increase competition, though seniority moderates it.
Requires deep financial-operations domain knowledge and AI-agent interaction expertise, limiting cross-industry transferability.
Requires senior-level craft, AI-native interaction expertise, domain knowledge, and mentorship—strict mandatory filters.
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Lead end-to-end design of AI-agent interactions focusing on intent communication, uncertainty handling, input requests, and human handoff.
Create and define new interaction patterns and mental models to make complex AI behaviour clear for non-technical financial operations users.
Independently conduct research, identify UX issues proactively, contribute to and evolve the design system with AI-native patterns, and mentor junior designers.
Experience designing for AI-native interactions, including trust, explainability, human-in-the-loop controls, and failure modes.
Proven ability to conduct independent generative and evaluative user research.
Strong skills in strategy alignment and clear articulation of design decisions to senior stakeholders.
Work Experience Required: Not explicitly mentioned in the JD.
Designer with deep expertise in AI-agent systems design within complex financial or operational workflows.
Highly experienced in systems thinking to anticipate edge cases and failure modes prior to engineering.
Effective mentor who elevates design team capabilities and leads by example in crafting new design patterns and documentation across product and engineering.