Lead design and adoption of cloud-native architecture and AI-enabled engineering across Asset & Wealth Management. Advise on technology selection, create scalable reusable frameworks, develop and review secure production code, set multi-year roadmaps, and establish governance and guardrails for agentic AI, automation, and responsible AI use at scale.
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 one or more programming language(s)
- 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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