We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Sr Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking - AIML Solutions technology, you are 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
- Team management, team mentoring, performance review and coaching.
- 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 the Gen 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 10 + years of applied experience
- 5+ years of managing team experience
- 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