Sr. Principal Architect

JPMorgan Chase JPMorgan Chase · Banking · Mumbai, Maharashtra, India · Asset & Wealth Management

Sr. Principal Architect role focused on setting strategy and operating standards for agentic AI-enabled engineering across a portfolio, driving improvements in delivery speed, reliability, and code quality. This includes defining guardrails for validation, security, resiliency, and reuse, and applying knowledge of AI-assisted development tools within the SDLC. The role requires demonstrated experience scaling these patterns and advising on responsible AI use at scale.

What you'd actually do

  1. 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.
  2. 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.
  3. Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies
  4. Develops multi-year roadmaps aligned with business and architecture strategy and priorities
  5. Creates complex and scalable coding frameworks using appropriate software design

Skills

Required

  • Formal training or certification on large scale technology program concepts and 10+ years applied experience
  • 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

What the JD emphasized

  • agentic AI-enabled engineering
  • AI-orchestrated SDLC/TLM automation
  • defining guardrails for validation, security, resiliency, and reuse
  • AI-assisted development
  • scaling agentic AI-enabled development patterns
  • responsible AI use and control expectations at scale
  • security/resiliency implications, data sensitivity, and risk-based governance

Other signals

  • AI-enabled engineering
  • agentic AI
  • AI-orchestrated SDLC/TLM automation
  • responsible AI use and control expectations at scale