Software Engineer III – Python/AWS/AI. Location: Plano, Texas, United States. This on-site role sits within JPMorgan Chase & Co.'s Commercial & Investment Bank – Data Analytics team. As a Software Engineer III, you will join an agile team to design and deliver secure, scalable technology products. You will help build cloud-based frameworks to host machine learning models, working with data scientists and using internal and external cloud platforms. You will ensure models are production-ready and aligned with the software development lifecycle, and you will collaborate with platform developers and engineering communities to integrate new technologies and advance ML solutions into production. Responsibilities: Develop secure, high-quality production code in Python and AWS; create architecture and design artifacts for complex applications. Participate in code reviews, design discussions, and agile planning; contribute reusable patterns to improve team effectiveness. Leverage AI-assisted development tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards. Apply SDLC toolchains and automation to maximize value. Build and maintain applications using Python and AWS; ensure design constraints are met. Gather and visualize data from large datasets to support continuous improvement. Identify patterns in data to drive improvements in code quality and system architecture. Integrate AIML solutions into domain-specific processing systems. Collaborate with SRE and monitoring teams to ensure relia

Software Engineer III – Python/AWS/AI. Location: Plano, Texas, United States. This on-site role sits within JPMorgan Chase & Co.'s Commercial & Investment Bank – Data Analytics team. As a Software Engineer III, you will join an agile team to design and deliver secure, scalable technology products. You will help build cloud-based frameworks to host machine learning models, working with data scientists and using internal and external cloud platforms. You will ensure models are production-ready and aligned with the software development lifecycle, and you will collaborate with platform developers and engineering communities to integrate new technologies and advance ML solutions into production. Responsibilities: Develop secure, high-quality production code in Python and AWS; create architecture and design artifacts for complex applications. Participate in code reviews, design discussions, and agile planning; contribute reusable patterns to improve team effectiveness. Leverage AI-assisted development tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards. Apply SDLC toolchains and automation to maximize value. Build and maintain applications using Python and AWS; ensure design constraints are met. Gather and visualize data from large datasets to support continuous improvement. Identify patterns in data to drive improvements in code quality and system architecture. Integrate AIML solutions into domain-specific processing systems. Collaborate with SRE and monitoring teams to ensure relia