Senior Lead Software Engineer – AI/ML Data Platform at JPMorganChase, Plano, Texas, United States (on-site). Be part of an agile team that designs, builds, and delivers trusted market-leading technology products in a secure, scalable environment. Responsibilities include providing technical guidance to business and technical teams, contractors, and vendors; developing secure, high-quality production code and reviewing others’ code; driving adoption of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes with measurable validation standards; applying SDLC tools and AI-assisted development capabilities to increase automation; defining processes to release new features quickly and remove bottlenecks; influencing product design, functionality, and technical operations; serving as a function-wide subject-matter expert; contributing to the engineering community by promoting firmwide frameworks and practices; delivering creative software solutions and solving complex problems; identifying opportunities to automate remediation of recurring issues to improve stability. Required qualifications include formal training or certification in software engineering and 5+ years of applied experience; hands-on experience delivering system design, development, testing, and operational stability; advanced proficiency in Python; strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security; experience coaching se

Senior Lead Software Engineer – AI/ML Data Platform at JPMorganChase, Plano, Texas, United States (on-site). Be part of an agile team that designs, builds, and delivers trusted market-leading technology products in a secure, scalable environment. Responsibilities include providing technical guidance to business and technical teams, contractors, and vendors; developing secure, high-quality production code and reviewing others’ code; driving adoption of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes with measurable validation standards; applying SDLC tools and AI-assisted development capabilities to increase automation; defining processes to release new features quickly and remove bottlenecks; influencing product design, functionality, and technical operations; serving as a function-wide subject-matter expert; contributing to the engineering community by promoting firmwide frameworks and practices; delivering creative software solutions and solving complex problems; identifying opportunities to automate remediation of recurring issues to improve stability. Required qualifications include formal training or certification in software engineering and 5+ years of applied experience; hands-on experience delivering system design, development, testing, and operational stability; advanced proficiency in Python; strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security; experience coaching se