As an Agentic AI Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, youare 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm27s business objectives.

Job responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• 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.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification in Software Engineering and 5+ years applied experience
• 8+ years of experience with a public cloud such as AWS
• Hands onpracticalexperiencedeliveringsystemdesign,applicationdevelopment,testing,andoperationalstability
• 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.
• Proficiencyinautomationandcontinuousdeliverymethods
• AdvancedunderstandingofagilemethodologiessuchasCI/CD,ApplicationResiliency,andSecurity
• Demonstratedproficiencyinsoftwareapplicationsandtechnicalprocesseswithinatechnicaldiscipline(e.g.,cloud,artificialintelligence,machinelearning,mobile,etc.)
• Proficientin developmentskillJava21/ Python buildingintoPublicCloudandCD/CDstrategies.
• Develop RESTful APIs and ensure smooth integration across internal and external services.

• Practicalcloudnativeexperience
• Working knowledge of one or more NoSQL database technologies, preferably Apache Cassandra
• Working knowledge of one or more Messaging technologies, preferably Apache Kafka
• In-depth knowledge of the financial services industry and their IT systems
• Exposure to building AI/ML driven applications to drive business goals.
• Track record of Continuous learning mindset
• Proficiency in Agile and SRE culture