If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. 

As a Senior Lead Architect at JPMorganChase within the

• Represents a product family in technical governance bodies and proposes improvements to architecture governance practices
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.
• Guides evaluation of current and new technologies using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions where appropriate
• Drives decisions that influence product design, application functionality, and technical operations and processes
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Serves as a function-wide subject matter expert and contributes to the engineering community as an advocate of firmwide SDLC frameworks and practices

• Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. 
   

  Required qualifications, capabilities, and skills
   
• Formal training or certification on architecture concepts and 5+ years applied experience 
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) and deep expertise in software architecture, applications, and technical processes within one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.
• Ability to tackle design and functionality problems independently with little to no oversight
• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture
• Strong judgment and communication skills to influence technical direction across teams