Join a collaborative technology team where your ideas help shape the tools and platforms that support employees across JPMorganChase. You will build reliable, scalable solutions, contribute to modern engineering practices, and help advance AI-enabled capabilities that make work simpler, faster, and more effective. This is an opportunity to grow your technical expertise while delivering meaningful impact in a secure and inclusive environment. As a core technical contributor, you will conduct critical technology solutions across multiple technical areas, supporting the firm’s business objectives. We value your creativity and encourage you to think beyond routine approaches to build innovative solutions.
Job Summary:
As a Lead Software Engineer – AI Tooling in Employee Platforms, you will design and deliver trusted technology products that are secure, stable, and scalable. You will work with us in an agile environment to create new features, improve AI tooling, and support cloud platform integration. Your work will help empower employees through innovative solutions that improve productivity, resilience, and user experience. You will be an integral part of an agile team, enhancing and building market-leading technology products. You will help drive outcomes-oriented probing of architectural designs and technical credentials.
Job Responsibilities:
- Design and deliver secure, high-quality software solutions that support employee-facing technology products
- Develop, debug, and maintain production code using modern engineering practices and scalable design patterns
- Contribute to architecture and design artifacts while ensuring software solutions meet functional, security, and resiliency requirements
- Build and enhance AI-enabled tooling, including solutions that support agentic workflows and improved developer productivity
- Analyze complex data sets and create insights, reporting, or visualizations that help improve applications and user outcomes
- Collaborate with product, design, engineering, and cloud platform teams to deliver solutions in an agile environment
- Apply continuous integration, continuous delivery, testing, and operational practices to improve software quality and reliability
- Participate in software engineering communities and contribute to a culture of learning, inclusion, and technical excellence
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and proficient applied experience
- Experience developing, debugging, and maintaining software in a large-scale technology environment
- Proficiency with Python and experience applying it to production software development
- Experience using AI coding assistants or AI-enabled engineering tools to improve development workflows
- Understanding of AI agents, agentic flows, and how they can be applied to software solutions
- Working knowledge of the software development life cycle, including design, build, test, deploy, and support activities
- Experience with agile delivery practices, continuous integration, continuous delivery, application resiliency, and secure coding
- Practical experience with cloud-native development, preferably using Amazon Web Services
- Experience with one or more database querying languages and working with data to support application development
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with modern front-end technologies and user-centered application development
- Experience working with relational or non-relational databases
- Experience with Java, Kotlin, or Spring Boot
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Skills Required
- Formal training or certification on software engineering concepts and proficient applied experience
- Experience developing, debugging, and maintaining software in a large-scale technology environment
- Proficiency with Python and experience applying it to production software development
- Experience using AI coding assistants or AI-enabled engineering tools to improve development workflows
- Understanding of AI agents, agentic flows, and how they can be applied to software solutions
- Working knowledge of the software development life cycle, including design, build, test, deploy, and support activities
- Experience with agile delivery practices, continuous integration, continuous delivery, application resiliency, and secure coding
- Practical experience with cloud-native development, preferably using Amazon Web Services
- Experience with one or more database querying languages and working with data to support application development
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting validation standards
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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