Manager Software Engineer

About the role

Manager Software Engineer at JPMorgan Chase within the Consumer and Community Banking - AIML Solutions technology team in Bengaluru, Karnataka, India (with a Hyderabad, Telangana location also listed). As a core technical contributor on an agile team, you will design, develop, and troubleshoot secure, scalable software solutions while driving adoption of enterprise-authorized AI-assisted engineering practices. Day-to-day work includes hands-on code development for the AI/ML and Gen AI platforms, LLM fine-tuning, multi-agent orchestration, MLOps, and data governance, alongside coaching engineers on responsible AI use and validation standards.

What you’ll do

• Execute standard software solutions, including design, development, and technical troubleshooting
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strate
• Apply 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 aut
• Write secure and high-quality code using the syntax of at least one programming language with limited guidance
• Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications
• Perform hands-on code development to enable the AI/ML platform, ensuring robustness, scalability, and high performance
• Adopt 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

What you’ll bring

• 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 (coding, code review, test acceleration, troubleshooting) with ability to set team expectations for val
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience co
• 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 AI platform engineering
• Ability to write secure, high-quality code using the syntax of at least one programming language with limited guidance
• Experience designing, developing, coding, and troubleshooting with consideration of upstream and downstream systems and technical implications

Skills