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JPMorganChase

Sr. Principal Architect

Reposted 15 Days Ago
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Hybrid
Mumbai, Maharashtra, IND
Senior level
Hybrid
Mumbai, Maharashtra, IND
Senior level
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.
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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.

JPMorganChase Mumbai, Maharashtra, IND Office

B11, B9, B10, Nirlon Knowledge Park, near Mrinal Tai Gore Flyover, Cama Industrial Estate, Mumbai, Maharashtra, India, 400063

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