Lead Software Engineer (AI)

JPMorganChase

On-sitePosted 28 июля 2026 г.

About the role

Plano, Texas, United States – Lead Software Engineer (AI) at JPMorganChase within the Commercial & Investment Bank, Automation and AI Solutions team. You will architect, design, and deliver scalable software products that combine cloud-native microservices with generative AI and LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.

Lead Software Engineer (AI)

JPMorganChase

On-sitePosted 28 июля 2026 г.

About the role

Plano, Texas, United States – Lead Software Engineer (AI) at JPMorganChase within the Commercial & Investment Bank, Automation and AI Solutions team. You will architect, design, and deliver scalable software products that combine cloud-native microservices with generative AI and LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.

Responsibilities

Design and develop creative full-stack software solutions.
Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
Drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
Leverage enterprise-approved AI coding assist tools to improve quality and delivery, while validating outputs through peer review, automated testing, and secure coding.
Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-approved AI-assisted development and automation capabilities, to improve the value of automation.
Architect and deliver cloud-native microservices and APIs (REST/streaming) with scalability, resilience, and strong security controls.
Identify and automate recurring operational issues to improve system stability and observability (logs/metrics/tracing).
Communicate project status and manage priorities across multiple initiat

Responsibilities

Design and develop creative full-stack software solutions.
Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
Drive adoption of enterprise-approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
Leverage enterprise-approved AI coding assist tools to improve quality and delivery, while validating outputs through peer review, automated testing, and secure coding.
Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-approved AI-assisted development and automation capabilities, to improve the value of automation.
Architect and deliver cloud-native microservices and APIs (REST/streaming) with scalability, resilience, and strong security controls.
Identify and automate recurring operational issues to improve system stability and observability (logs/metrics/tracing).
Communicate project status and manage priorities across multiple initiat

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