Role Overview

As a Software Engineer III (UX/UI) at JP MorganChase within Infrastructure Platforms Team, you help design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You deliver critical technology solutions across multiple technical areas and business functions, translating business requirements into high-quality user experiences across enterprise platforms and related applications. You continuously improve usability, efficiency, and personalization through modern front-end engineering and AI-augmented practices.

Responsibilities

Design and deliver intuitive, user-centric digital experiences across enterprise platforms by translating business requirements into effective interaction and visual design.
Build reusable UI components and front-end applications using modern frameworks (React, Angular, or similar) and core web technologies (JavaScript, HTML5, CSS3).
Leverage AI-assisted design and development practices, including AI-driven prototyping and ideation, design automation, AI copilots, automated UX recommendations, and personalization informed by user behavior insights.
Integrate front-end solutions with application programming interfaces (APIs) and back-end services, delivering secure, stable, and scalable production code that supports business objectives.
Troubleshoot and execute software solutions that break down complex problems beyond routine approaches while improving code quality and strengthening system architecture.
Produce architecture and design artifacts for complex applications and ensure design constraints are met through high-quality software development.
Analyze large, diverse data sets and develop visualizations and reporting to drive continuous improvement, contribute to engineering communities of practice, and strengthen a culture of diversity, opportunity, inclusion, and respect.
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Requirements

Formal training or certification on software engineering concepts and 3+ years applied experience
Relevant experience designing and delivering intuitive, user-centric UX/UI experiences across enterprise platforms.
Demonstrated understanding of UX/UI principles, usability, and interaction design, including translating requirements into high-quality user experiences.
Hands-on experience with JavaScript, HTML5, and CSS3.
Hands-on experience with a modern front-end framework such as React, Angular, or similar.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Experience leveraging AI-assisted development or design tools (for example, AI copilots and design automation tools) to support UX/UI work.
Experience integrating front-end applications with APIs and back-end services in a production environment.
Experience delivering secure, stable, and scalable code within an agile delivery model.

Preferred Qualifications

Experience building and maintaining enterprise design systems and reusable component libraries.
Experience applying accessibility best practices (for example, WCAG-aligned design and development).
Experience with data visualization techniques to support reporting and product insights.
Experience applying AI-assisted personalization approaches informed by user behavior insights.