Vice President - Senior Lead Architect

Job responsibilities


* Develop architecture assessment agents to evaluate critical end-to-end business services at enterprise scale


* Represent a product family in technical governance bodies and propose improvements to architecture governance practices


* Leverage enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decision-making across the product family, with human-in-the-loop validation and appropriate handling of sensitive data


* Guide evaluation of current and emerging technologies using existing standards and frameworks, influencing peers and decision-makers to adopt leading-edge solutions that improve scalability, resiliency, security, and engineering effectiveness


* Drive architecture decisions that influence product design, application functionality, technical operations, and engineering processes across multiple teams and technology domains


* Develop secure and high-quality production code, review and debug code written by others, and provide hands-on technical leadership throughout the software delivery lifecycle


* Serve as a function-wide subject matter expert and contribute to the engineering community as an advocate of firmwide software development lifecycle frameworks and practices


* Establish reuse-first AI-enabled engineering patterns and governance across software development lifecycle and toolchain practices, driving consistency, traceability, auditability, resiliency, security, and engineering excellence


* Provide regular technical guidance and direction to support the business and its technical teams, contractors, and vendors

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 proficiency in one or more programming languages and deep expertise in software architecture, applications, and technical processes within one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, distributed systems)


* Demonstrated experience applying enterprise-authorized AI capabilities 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 future-state architecture


* Strong judgment, decision-making, stakeholder management, and communication skills with the ability to influence technical direction across teams, architecture governance forums, and se...