Applied AI ML Associate


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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Summary

Builds and maintains software components for payments technology products, writing secure, high-quality code and using AI-assisted development tools. Requires 2+ years of applied software engineering experience, formal training or certification, hands-on SDLC and system design experience, and familiarity with agile, CI/CD, security, and responsible AI practices.

Responsibilities

Executes standard software solutions; writes secure high-quality code; leverages AI coding assist tools; designs and troubleshoots considering upstream and downstream systems; applies SDLC toolchain; analyzes large data sets; learns system processes.

Qualifications

Formal training or certification in software engineering concepts; 2+ years applied experience; hands-on experience in system design, application development, testing, operational stability, SDLC, agile, CI/CD, security, and AI-assisted tools.

Experience requirements

2+ years applied software engineering experience; formal training or certification in software engineering concepts; hands-on experience across SDLC, system design, application development, testing, operational stability, modern languages, database querying, and AI-assisted tools.