Senior Lead Architect: Solution Architecture

Are you passionate about shaping the future of technology and driving transformative business impact in financial services? Join JPMorganChase as a Senior Lead Architect and help us deliver innovative, high-quality solutions that leverage advanced AI, machine learning, and data engineering capabilities.

As a Senior Lead Architect at JPMorgan Chase within the Corporate Technology Data Strategy & Architecture organization, you will play a pivotal role in designing and governing enterprise-scale architecture solutions for software applications and platform products You will drive significant business impact by architecting next-generation AI/ML systems, influencing technology direction, and ensuring our solutions meet the highest standards of security, resiliency, and regulatory compliance.

Job responsibilities


* Represent product families in technical governance bodies, proposing enhancements to architecture governance and AI risk management practices.


* Provide strategic technical guidance to business stakeholders, engineering teams, contractors, and vendors, fostering a collaborative and innovative environment.


* Leverage enterprise-authorized AI/ML capabilities-including LLMs, agentic systems, and embedding pipelines-to accelerate architecture analysis, decisioning, and solution delivery, with robust human-in-the-loop validation and sensitive data handling.


* Guide evaluation and integration of current and emerging technologies, influencing peers and decision-makers to adopt leading-edge AI/ML and cloud-native solutions.


* Drive architectural decisions impacting product design, application functionality, and technical operations, with a focus on AI-enabled engineering patterns and governance.


* Develop secure, high-quality production code for data-intensive and AI-driven applications; review and debug code written by others to ensure best practices.


* Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC frameworks.


* Establish and govern reuse-first, AI-enabled engineering patterns across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls.


* Architect and govern agentic AI systems-including multi-agent workflows, tool-use patterns, and human-in-the-loop controls-suitable for regulated financial services environments.


* Lead AI risk governance design, observability, and ability to explain requirements for production AI systems, shaping enterprise approaches to AI agent orchestration, inter-agent communication, and state management at scale.

Required qualifications, capabilities, and skills


* Formal training or certification on architecture concepts and 5+ years applied experience in AI/ML, cloud, and data engineering


* Minimum 12+ years of hands-on experience in system design, application development, testing, and operation...