Lead and manage software engineering teams to build and scale AIML and GenAI platforms. Hands-on development in Python and AWS (EKS, EMR, ECS), implement MLOps, LLM fine-tuning, multi-agent orchestration, and platform engineering. Establish secure, resilient SDLC/CI/CD automation, governance, and engineering best practices while mentoring teams and measuring delivery outcomes.
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.
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
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