Sr.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 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.
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• 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
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.

• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.