Lead Software Engineer – Java & AI for J.P. Morgan within the Payments team. This on-site role is based in City of London, United Kingdom, and focuses on building a cloud-based payments application with high performance and low latency. You will develop end-to-end payment flows, from understanding business requirements to coding and supporting production solutions, in an agile environment that values collaboration and responsible use of AI.

Responsibilities include designing and delivering secure, high-quality production code, reviewing code written by others, and driving the team’s adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. You will establish validation standards, including secure coding, peer review, and automated testing; promote reuse of effective patterns across the team; apply the Software Development Life Cycle toolchain with AI-assisted development and automation; lead architectural design evaluation sessions with internal teams; lead communities of practice to promote new and leading-edge technologies; and foster a culture of diversity, opportunity, inclusion, and respect.

Required qualifications: hands-on coding experience with a proven track record; a strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs; experience coaching engineers on safe, compliant AI adoption within delivery practices; experience delivering system design, application development, testing, and operational stability; ad

Lead Software Engineer – Java & AI for J.P. Morgan within the Payments team. This on-site role is based in City of London, United Kingdom, and focuses on building a cloud-based payments application with high performance and low latency. You will develop end-to-end payment flows, from understanding business requirements to coding and supporting production solutions, in an agile environment that values collaboration and responsible use of AI.

Responsibilities include designing and delivering secure, high-quality production code, reviewing code written by others, and driving the team’s adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. You will establish validation standards, including secure coding, peer review, and automated testing; promote reuse of effective patterns across the team; apply the Software Development Life Cycle toolchain with AI-assisted development and automation; lead architectural design evaluation sessions with internal teams; lead communities of practice to promote new and leading-edge technologies; and foster a culture of diversity, opportunity, inclusion, and respect.

Required qualifications: hands-on coding experience with a proven track record; a strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs and outputs; experience coaching engineers on safe, compliant AI adoption within delivery practices; experience delivering system design, application development, testing, and operational stability; ad