Manager Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - AIML Solutions technology, 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 firm's business objectives..

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting

• 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.

• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
• Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
• Maintain consistent code check-ins every sprint to ensure continuous integration and development.
• Executes using Platform engineering to enable theGen AI platform and develop the Gen AI Use cases ,LLM fine tuning and multi agent orchestration.
• Communicate technical concepts and solutions effectively across all levels of the organization.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5 + years of applied experience

• 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

• Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS,
• Hands-on experience in AIML lifecycle development.
• Advanced knowledge in Generative AI, Agent development and the AI platform engineering