Ux Conversation Designer, Senior Associate

JPMorgan Chase JPMorgan Chase · Banking · Brooklyn, NY +1 · Corporate Sector

This role focuses on designing conversational AI experiences, specifically for an internal help phoneline, leveraging large language models (LLMs) and traditional IVR systems. The designer will create end-to-end use case flows for voice, chat, and multi-modal interfaces, conduct user research, and collaborate with ML teams to train LLMs based on conversational design principles. The goal is to improve user experience, drive efficiency, and align with business objectives within an enterprise environment.

What you'd actually do

  1. Design AI-powered end-to-end use case flows (with an initial focus on voice interfaces, and expansion into chat interfaces and multi-modal experiences) for the Ask JPMC phoneline IVR system through decision trees, audio prototypes, logic frameworks, or other Conversational AI tools
  2. Leverage expertise in NLU and LLM experiences across products to contribute to the broader Conversational AI strategy, including how design processes will evolve when building with LLMs and how the Design System specific to your product will update over time
  3. Collaborate with ML (Machine Learning) teams to train LLMs based on Conversational Design principles and industry best practices
  4. Conduct or work with UX Research to conduct usability testing, observational testing, and other forms of research to gather data insights from real users
  5. Operate with an iterative design mindset, gathering and incorporating user and agent feedback to continuously improve the overall experience of the Ask JPMC phoneline

Skills

Required

  • 3+ years of experience or equivalent expertise in User Experience Design, Conversational AI Design, or similar roles designing for voice first products
  • Understanding of audio branding, voice persona creation, and the impact of prosody, tone, and pacing on user experience.
  • Design and optimize IVR and chat flows, including call routing, escalation paths, and error handling for both self-service and agent-assisted scenarios.
  • Develop audio and text prompts and scripts that are clear, concise, and tailored to diverse customer segments.
  • Demonstrated experience designing across multiple platforms, including web, mobile, and other digital channels
  • Experience creating inclusive designs, accessibility guidelines, and assistive technologies that incorporate diverse perspectives
  • Ability to plan and organize design work from initial concept through execution and advocate for Conversation Design best practices.
  • Ability to manage ambiguity, work autonomously, and multi-task in an agile environment and experience interpreting complex data and transforming it into actionable insights for informed decision-making
  • Ability to develop experiences that meet or exceed the initial proposal of a product or experience, including the development of innovation strategies and the creation of 'north star' representations to drive customer-centric and employee-centric decision-making.
  • Familiar with the different phases of the user research and design process—including validating hypotheses with users, effectively communicating concepts, and creating low/high fidelity prototypes for both visual and conversational interfaces.
  • Experience supporting new business thinking and strategy through user-centered and conversational design work, with facilitation skills and experience employing a variety of techniques to run design-led workshops

Nice to have

  • Ability to design end-to-end use case flows through wireframes and prototypes in visual UX design tools like Figma
  • Familiarity working within a Design System to produce and contribute to patterns, including Conversational UI components, and to develop and refine our Visual and Conversational Design Language.
  • Experience designing and deploying experiences using prompt playgrounds such as MindStudio or similar
  • Experience supporting design work in employee assistant tools, Conversational AI, or AI-driven product teams.
  • Prior experience working in complex business domains or in enterprise environments (financial services or other) working on large-scale transformation programs, including AI tool deployment.
  • Ability to understand and articulate how technical constraints and opportunities—including AI/ML capabilities—influence design solutions.
  • Familiarity with technology concepts and an understanding of various technical approaches and lifecycles (e.g., agile development methodologies, DevOps practi

What the JD emphasized

  • conversational AI design
  • LLMs
  • voice interfaces
  • chat interfaces
  • multi-modal experiences
  • NLU
  • user research
  • ML (Machine Learning) teams

Other signals

  • designing conversational AI
  • leveraging LLMs
  • integrating UX and Conversational Design