UX Conversation Designer, Vice President

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. seeks a VP-level UX Conversation Designer for the Employee Experience team to shape the employee-facing conversational experience. You will drive strategy for designing AI-powered dialogs, leveraging large language models, and aligning with business goals.

You will collaborate with product, engineering, ML teams and stakeholders to translate design visions into concrete deliverables, advocate for inclusive design, and contribute to a scalable design language across platforms.

Qualifications

• 4+ years of experience in User Experience Design or Conversational AI design for LLMs.
• Ability to visualize user journeys, storyboards, wireframes, and conversational flows across platforms.
• Experience deploying Conversational AI solutions (chatbots, virtual assistants) with NLP/AI tech.
• Proven track record designing for web, mobile, and other digital channels.
• Experience creating inclusive designs and accessibility guidelines.

Responsibilities

• Design AI-powered end-to-end use case flows for the Employee Assistant across chat, voice, and multi-modal interfaces using wireframes, prototypes, prompts, or similar tools.
• Propose intuitive, user-centric solutions aligned with business objectives to drive engagement.
• Partner with UX Research to conduct usability testing and gather data insights from real users.
• Iterate designs based on user and agent feedback to continuously improve the Employee Assistant experience.
• Work within a Design System to contribute to patterns and refine Visual and Conversational Design Language.
• Leverage expertise in LLMs to inform broader Conversational AI strategy and design processes when building with LLMs.
• Conduct data-driven analyses to transform raw data into actionable insights for decision-making.
• Collaborate with cross-functional teams to integrate UX and Conversational Design into product development.
• Collaborate with ML teams to train LLMs following Conversational Design principles and best practices.
• Lead ideation and alignment workshops with stakeholders and present work to business groups with clear rationale.

Skills

UX Design

Conversational AI

LLMs

Design Thinking

Storytelling

Accessibility

Workshop Facilitation

Tools

MindStudio

Dialogflow

VoiceFlow

Microsoft Bot Framework

Job description

Shape the future of User Experience and Conversational AI design with strategic initiatives that blend business needs, user insights, and cutting-edge AI technologies.

As a UX Conversation Designer, Vice President in the Employee Experience team, you will help shape the user experience across our products and services —including the design and development of the conversational experience for the internal Employee Assistant. This position is ideal for a designer with experience in Conversation Design and a solid understanding of large language models(LLMs). You will play a key role in driving innovation and leveraging your expertise in language models to inform our broader strategy for working with LLMs.

Your expertise in Design Thinking, UX Research Practices, and Conversational Interface Design will support strategic initiatives and develop innovative solutions.The successful candidate will engage cross-functional stakeholders, advocate for user-centered design through compelling storytelling, and excel at translating design vision into solid deliverables. Designers should also be familiar withinclusive design practices which will help ensure the Employee Assistant is not only visually appealing but also accessible.

Job Responsibilities

• Design AI-powered end-to-end use case flows (for chat interfaces, voice interfaces, and multi-modal experiences)for the Employee Assistant through wireframes, prototypes, decision trees, logic frameworks, prompt playgrounds, or other Conversational AI tools
• Propose solutions that are intuitive, user-centric, drive efficiency and user engagement while also aligning with business objectives
• Conduct or work with UX Research to conduct usability testing, observational testing, and other forms of research to gather data insights from real users
• Operate with an iterative design mindset, gathering and incorporating user and agent feedback to continuously improve the overall experience the Employee Assistant
• Work 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.
• Leverage expertise in LLMs to contribute to the broader Conversational AIstrategy, including how design processes will evolve when building with LLMs
• Conduct data driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision making
• Collaborate with cross-functional teams to integrate UX and Conversational Design into the product development process
• Collaborate with ML (Machine Learning) teams to train LLMs based on Conversational Design principles and industry best practices
• Conduct ideation and alignment workshops with project stakeholders ensuring alignment and understanding amongst stakeholders
• Present your work to business stakeholders and the broader product and technology organization — articulating your design rationale and decisions with clarity and impact through engaging storytelling and comprehensive documentation

Required Qualifications, Capabilities, and Skills

• 4+ years of experience or equivalent expertise in User Experience Design, Conversational AI Design, or similar roles designing for LLMs
• Demonstrate ability to visual representations of user journeys, storyboarding, wireframes, prototypes, agentlogic, agent decision points, and conversational flows using conversation design platforms (e.g., MindStudio, Dialogflow, VoiceFlow, Microsoft Bot Framework, or similar) at different levels of fidelity
• Experience deploying Conversational AI solutions (e.g., chatbots, virtual assistants) using natural language processing and AI technologies.
• 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 toplan and organize design work frominitialconcept 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.
• Proficiency designing high-density and data-driven conversational experiences.
• 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

Preferred Qualifications, Capabilities, and Skills

• 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 practices, frontend development structures, and AI model deployment).
• Understanding of product lifecycles from a UX and conversational AI perspective (e.g., how user and conversational experiences evolve throughout the different stages of a product's lifecycle)