JP Morgan Chase

Runs a consumer bank and an investment bank

Applied AI ML Associate

Software EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 2 years of applied experience.
Hands-on practical experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, or documentation, with the ability to critically evaluate and validate AI-generated outputs.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
Experience across the whole Software Development Life Cycle.
Exposure to agile methodologies such as Continuous Integration/Continuous Delivery, application resiliency, and security.

Responsibilities

Execute standard software solution design, development, and technical troubleshooting.
Write secure, high-quality code using at least one programming language with limited guidance.
Use enterprise-authorized AI coding-assist tools to improve code quality, delivery speed, and productivity through code generation or refactoring, unit test creation, and documentation, while validating outputs through peer review, automated testing, and secure coding standards.
Design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications.
Apply Software Development Life Cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized by automation.
Apply technical troubleshooting to break down solutions and solve basic-complexity technical problems.
Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making for secure, stable application development.
Learn and apply system processes, methodologies, and skills for developing secure, stable code and systems.

Desired Qualifications

Experience adopting AI-native engineering practices at team or organizational scale.
Experience leading adoption of agentic AI-enabled engineering practices across teams using enterprise-authorized tools, including defining operating expectations such as human-in-the-loop validation and quality gates, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs.
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency and 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.

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

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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