Software Engineer - Data Engineer / Applied AI (LLMs) at JPMorganChase within Asset & Wealth Management. As a Data Engineering & Applied AI Software Engineer, you will be an integral member of an agile team that builds secure, scalable, market-leading technology products to support the firm's business objectives. You will execute software design, development, and debugging; write secure, high-quality code in languages such as Python, Java, or Kotlin with limited guidance; and leverage enterprise AI-assisted development tools to improve code quality, delivery speed, and productivity, validated by peer review, automated testing, and secure coding standards. You will design, develop, code, and troubleshoot with consideration of upstream and downstream systems; own full-stack data platform development; apply an AI-first mindset using Claude Code to build autonomous agents; develop AI capabilities to deliver business value; utilize the Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation. You will analyze large, diverse data sets to identify problems and contribute to decision-making in secure, stable application development, and you will learn and apply processes for developing secure, stable code and systems. Qualifications include 2+ years of software engineering experience; formal training or certifications; experience using enterprise-authorized AI-assisted development tools; understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Software Engineer - Data Engineer / Applied AI (LLMs) at JPMorganChase within Asset & Wealth Management. As a Data Engineering & Applied AI Software Engineer, you will be an integral member of an agile team that builds secure, scalable, market-leading technology products to support the firm's business objectives. You will execute software design, development, and debugging; write secure, high-quality code in languages such as Python, Java, or Kotlin with limited guidance; and leverage enterprise AI-assisted development tools to improve code quality, delivery speed, and productivity, validated by peer review, automated testing, and secure coding standards. You will design, develop, code, and troubleshoot with consideration of upstream and downstream systems; own full-stack data platform development; apply an AI-first mindset using Claude Code to build autonomous agents; develop AI capabilities to deliver business value; utilize the Software Development Life Cycle tools, including enterprise-authorized AI-assisted development and automation. You will analyze large, diverse data sets to identify problems and contribute to decision-making in secure, stable application development, and you will learn and apply processes for developing secure, stable code and systems. Qualifications include 2+ years of software engineering experience; formal training or certifications; experience using enterprise-authorized AI-assisted development tools; understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations.