Principal Architect

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Consumer & Community Banking

Principal Architect role focused on developing architecture solutions for conversational AI and search experiences in financial services. The role involves applying enterprise AI capabilities, defining target state architecture, producing solution architectures, evaluating new technologies, and establishing AI-enabled engineering patterns. Requires 10+ years of software engineering experience and a proven ability to architect and deliver platforms at scale, with a focus on integration and communication.

What you'd actually do

  1. Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, roadmap development, and design decisioning, with human-in-the-loop validation and appropriate handling of sensitive data.
  2. Help define target state architecture in advanced search, conversational AI and self service UX
  3. Produce solution architectures, together with the development team, assisting development through design, development and deployment into production
  4. Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks
  5. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls.

Skills

Required

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Proven technology background with hands-on development experience (not solely high-level / business architecture)
  • Demonstrated ability to architect and deliver platforms at scale
  • Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate and integrate AI-enabled capabilities into scalable platforms while meeting resiliency, security, and auditability requirements.
  • Demonstrated “platform thinking”: designing reusable frameworks/services intended for multiple lines of business
  • Proven experience producing solution designs and other architecture deliverables that engineering teams can execute against
  • Ability to work closely with engineering teams: partner with developers, guide technical decisions, and unblock delivery
  • Demonstrated experience driving integration across a large enterprise ecosystem (significant portion of role focused on integration)
  • Effective communication skills, including the ability to present architecture clearly to varied audiences (engineering through senior leadership)
  • Ability to influence and align senior stakeholders (including managing directors) on architecture decisions and roadmaps

Nice to have

  • Experience with natural language processing, AI and/or machine learning algorithms
  • Experience with designing and deploying systems on public cloud

What the JD emphasized

  • 10+ years applied experience
  • Proven technology background with hands-on development experience (not solely high-level / business architecture)
  • Demonstrated ability to architect and deliver platforms at scale
  • Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate and integrate AI-enabled capabilities into scalable platforms while meeting resiliency, security, and auditability requirements.
  • Demonstrated “platform thinking”: designing reusable frameworks/services intended for multiple lines of business
  • Proven experience producing solution designs and other architecture deliverables that engineering teams can execute against
  • Ability to work closely with engineering teams: partner with developers, guide technical decisions, and unblock delivery
  • Demonstrated experience driving integration across a large enterprise ecosystem (significant portion of role focused on integration)

Other signals

  • architect and deliver platforms at scale
  • applying enterprise-authorized AI capabilities within the work environment
  • integrate AI-enabled capabilities into scalable platforms