Ux Creative Technologist, Vice President

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

This role focuses on building an AI-native design system from the ground up, integrating AI agents and automations to make the system generative and self-improving. The technologist will be responsible for the end-to-end creation of the system, including foundations, tokens, components, and documentation, as well as establishing middle-layer connections and APIs. The role requires strong front-end engineering skills, experience with AI agents, and the ability to set and maintain high standards for design and code quality.

What you'd actually do

  1. Lead hands-on creation of the AI-native design system end-to-end — from foundations, tokens, components, patterns, and documentation to a scalable contribution model — as a coded, evolving, living product
  2. Design and ship AI agents and automations that make the system generative, self-serve, and self-improving — from foundation scaffolding to on-demand pattern generation
  3. Establish middle-layer connections, APIs, integration points, and tooling that link the design system to the products, pipelines, and workflows that consume it
  4. Integrate AI natively into daily workflows — including prototyping, generation, and agentic tooling — to accelerate delivery without sacrificing craft
  5. Build coded prototypes and explorations that validate ideas before the team commits to shipping them

Skills

Required

  • 5+ years of experience or equivalent expertise in creative technology, design engineering, user experience, design systems, or similar craft-and-code roles
  • Exceptional design taste and craft, with demonstrated ability to set and maintain the visual and interaction quality bar
  • Proven experience building and scaling design systems as coded infrastructure, with real adoption across multiple teams
  • Strong, production-level front-end engineering skills across modern frameworks, token-based systems, accessibility standards, and performance optimization
  • Hands-on experience building AI agents, automations, or AI-augmented tooling and shipping them into real workflows
  • Strong understanding of UI architecture and front-end technical constraints and requirements for complex applications
  • Experience partnering closely with engineering teams and communicating effectively in developer terms
  • Background in agency, studio, or high-speed delivery environments, with a track record of shipping high-quality work at pace
  • Familiarity with Git-based workflows, including contributing to and pushing changes through shared repositories
  • Demonstrated experience applying inclusive design and accessibility guidelines, embedding both into the components and patterns that ship
  • Fluency across Figma, VS Code, modern front-end frameworks, and AI coding tools, with a willingness to adopt new tools as they emerge

Nice to have

  • Portfolio and codebase that demonstrate design systems, production front-end work, and shipped AI agents together in a single profile
  • Experience building AI-native or generative capabilities into a design system, such as design-to-code pipelines, agentic component generation, or automated documentation
  • Comfort operating across the middle layer — connecting front-ends to services, data, and pipelines rather than working only at the UI surface
  • Background in agency, advertising, videogames, design engineering, or future-concepting environments
  • Hands-on motion and micro-interaction experience in production applications, comfortable writing interface animation in code (CSS, JS, or Lottie) so motion ships as a living part of the system
  • Demonstrated ability to treat AI as a building partner — using agents to generate, iterate, and scale the system alongside your own craft
  • Experience leading systems, platforms, or craft initiatives with a track record of raising quality across a team

What the JD emphasized

  • AI-native design system
  • AI agents
  • AI-augmented engineering
  • AI-native systems thinking
  • agent orchestration
  • production-level front-end engineering skills
  • AI agents, automations, or AI-augmented tooling and shipping them into real workflows

Other signals

  • AI-native design system
  • AI agents and automations
  • AI-augmented engineering
  • AI-native systems thinking
  • agent orchestration