Lead Software Engineer AI Tooling

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 firms 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