Applied AI ML Associate

JPMorgan Chase Bank; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorgan Chase Bank in Bengaluru, India, is hiring a Software Engineer II in the Commercial & Investment Bank - Payments Technology team. You will work in an agile environment to design, develop, and deliver secure, scalable software components while growing your skills and advancing your career.

You will contribute across the SDLC, write secure code in modern languages, and leverage enterprise AI coding assist tools, with peer reviews and automated testing to ensure quality and reliability.

Qualifications

• Formal software engineering training or certification with 2+ years of applied experience.
• Experience in system design, application development, testing, and operational stability.
• Experience coding in one or more modern programming languages and database querying languages.
• Hands-on experience with enterprise AI-assisted development tools and evaluating AI outputs.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code with limited guidance.
• Uses enterprise AI coding assist tools to improve code quality and delivery, with peer review and testing.
• Designs and troubleshoots with awareness of upstream/downstream systems.
• Applies SDLC tools and automation to improve value and efficiency.
• Gathers data to identify problems and support secure, stable application development.
• Learns and applies processes for secure, stable code and systems.

Skills

Software development

Agile methodologies

AI-assisted development

Secure coding practices

Education

Software engineering training/certification

Tools

AI coding tools

CI/CD tooling

Testing frameworks

Job description

You re ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
• 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC - India/ LATAM/ Hong Kong)
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• 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 across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience adopting AI-native engineering practices at team or organizational scale
• Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
• Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
• Track record of reducing operational toil and cost through automation and better engineering