Expert
Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies.
As a Sr. Principal Architect at JPMorganChase within the Asset and Wealth Management, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes.
Job responsibilities
Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies
Develops multi-year roadmaps aligned with business and architecture strategy and priorities
Creates complex and scalable coding frameworks using appropriate software design
Develops secure and high-quality production code, and reviews and debugs code written by others
Serves as the function’s go-to subject matter expert
Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions
Champions the firm’s culture of diversity, opportunity, inclusion, and respect
Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
Hands-on practical experience delivering system design, application development, testing, and operational stability
Expertise in python is important
Deep knowledge in one or more software, applications, and architecture
Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines
Experience leading a product as a Product Owner or Product Manager
Ability to present and effectively communicate to Senior Leaders and Executives
Understanding of the business. Practical cloud native experience .
Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
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