Lead Software Engineer in Data Engineering & Applied AI at JPMorganChase within Asset & Wealth Management, based in Plano, Texas, United States. You will be a core technical contributor on an agile team responsible for designing, developing, and delivering AI-enabled platform capabilities that power next-generation data management products including data quality, metadata management, data lineage, and data retention and destruction. You will drive the team's adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reusable patterns across the team. You will leverage the Software Development Life Cycle toolchain and enterprise AI-assisted development and automation capabilities to maximize value and automation. You will contribute to the hands-on design and development of a production data platform with full-stack ownership, applying an AI-first mindset using Claude Code to build agentic capabilities that enable platform autonomy. You will develop AI capabilities, agents, and supporting MCP servers to deliver product capabilities and business value. You will design and deliver secure, high-quality production code, review code written by others, and troubleshoot complex problems. You will identify opportunities to reduce recurring issues and improve the overall stability of software applications and systems. Required qualifications include formal training or certification in Software Engi

Lead Software Engineer in Data Engineering & Applied AI at JPMorganChase within Asset & Wealth Management, based in Plano, Texas, United States. You will be a core technical contributor on an agile team responsible for designing, developing, and delivering AI-enabled platform capabilities that power next-generation data management products including data quality, metadata management, data lineage, and data retention and destruction. You will drive the team's adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reusable patterns across the team. You will leverage the Software Development Life Cycle toolchain and enterprise AI-assisted development and automation capabilities to maximize value and automation. You will contribute to the hands-on design and development of a production data platform with full-stack ownership, applying an AI-first mindset using Claude Code to build agentic capabilities that enable platform autonomy. You will develop AI capabilities, agents, and supporting MCP servers to deliver product capabilities and business value. You will design and deliver secure, high-quality production code, review code written by others, and troubleshoot complex problems. You will identify opportunities to reduce recurring issues and improve the overall stability of software applications and systems. Required qualifications include formal training or certification in Software Engi