Manager Software Engineer

JPMorgan Chase & Co.; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru seeks a Lead Software Engineer to join the Consumer & Community Banking AIML Solutions team. You will be a core technical contributor, delivering trusted market-leading technology products in a secure, scalable manner.

You will drive adoption of AI-assisted engineering practices, ensure secure coding, and mentor teams while working on Gen AI use cases, LLM fine-tuning, and rapid automation within the SDLC using Python and AWS services.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Demonstrated experience leading effective use of AI-assisted software development tools with emphasis on validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows and secure delivery practices.
• Extensive practical experience with Python and AWS cloud services (EKS, EMR, ECS).
• Advanced knowledge in Generative AI, agent development, and AI platform engineering.

Responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Writes secure and high-quality code with minimal guidance across multiple systems.
• Designs, develops, codes, and troubleshoots with consideration of upstream/downstream systems.
• Maintains CI/CD with regular code check-ins across sprints.
• Develops Gen AI platform use cases, LLm fine-tuning, and multi-agent orchestration.
• Communicates technical concepts effectively across organizational levels.

Skills

Python

AWS

AI/ML

MLOps

Generative AI

Agent development

LLMs

Secure coding

Education

Formal training or certification in software engineering

Tools

EKS

EMR

ECS

Job description

• Business Unit Consumer & Community Banking
• Posting Date 08/20/2026, 01:38 PM
• Apply Before 08/27/2026, 04:00 AM
• Job Schedule Full time
• Job Shift Day

Job Description

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,
• Advanced knowledge in Generative AI, Agent development and the AI platform engineering