Senior Lead Software Engineer - React, TypeScript, JavaScript, UI Design focused Frontend

Company: JPMorganChase

Location: New York, NY 10172

Salary: $171,000 - $260,000 a year

Type: Full-time

Posted: 2026-07-16

About this role

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Corporate – Chief Analytics Office Creative Tech team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

The Creative Tech team is dedicated to strategically integrating generative AI across JPMorganChase, driving innovation in major internal applications that leverage artificial intelligence and machine learning to boost employee productivity. Our work sits at the intersection of cutting-edge AI capabilities and the real, day-to-day needs of a global enterprise. You will be at the center of some of the most exciting work in enterprise technology — building AI-powered interfaces that redefine how people work. You will translate the latest capabilities of generative AI into polished, production-grade React experiences, collaborating with backend engineers, product managers, and designers to ship features that users feel every day.

Job responsibilities

  • Lead the development of sophisticated AI-enhanced user interfaces for large-scale internal tools.
  • Translate designer vision into polished, pixel-perfect front-end experiences, demonstrating a keen eye for detail, aesthetics, and high-quality UI execution.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establis...

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