Principal Architect, AI-Native Engineering Platforms

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
62 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $203k
$129k $275k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$236,312.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Principal Architect, AI-Native Engineering Platforms

The Principal Architect, AI-Native Engineering Platforms joins the Asset and Wealth Management team to define the technical vision, architecture strategy, and engineering standards for business-critical platforms. This role involves driving the architecture strategy for AI-native engineering, specifically focusing on how agentic AI reshapes system design, development, testing, deployment, and operations across the software development life cycle. Key responsibilities include establishing AI-enabled patterns like spec-first development and automated conformance testing, while enforcing governance through human-in-the-loop approvals and architectural fitness functions. The position requires expertise in cloud-native transformation, API-first design, event-driven and domain-driven architectures, and data mesh patterns. Candidates must possess deep knowledge of distributed systems, infrastructure-as-code, and CI/CD, while applying enterprise-authorized AI capabilities to accelerate architecture analysis and roadmap development within financial services.

What does a Architect earn?

Median $225000 from 45 postings across 26 companies.

See salary data

What you'll do

  • Define the architecture strategy for AI-native engineering across the entire software development life cycle.
  • Establish AI-enabled patterns for spec-first development, agent-driven code generation, and automated conformance testing.
  • Enforce governance guardrails for AI in engineering, including design traceability and architectural fitness functions.
  • Lead cloud-native transformation using API-first, event-driven, domain-driven, and data mesh architecture patterns.
  • Establish enterprise architecture principles, reference architectures, and decision frameworks to ensure consistent delivery at scale.
  • Drive architecture simplification and rationalization to reduce technical debt and accelerate time-to-market.
  • Mentor engineering teams through hands-on engagement, code reviews, and technical problem-solving.
  • Apply enterprise-authorized AI capabilities to accelerate architecture analysis, roadmap development, and design decisioning.

What we're looking for

  • Formal training or certification on software engineering concepts and 10+ years of applied experience.
  • 10+ years of experience in software engineering and architecture with progressive leadership of architecture/engineering teams at scale.
  • Proven senior/principal architect experience defining enterprise architecture vision and governing technology decisions across multiple lines of business.
  • Hands-on architectural leadership to modernize complex systems using CI/CD, automated testing, infrastructure-as-code, and secure SDLC controls.
  • Deep expertise in modern architecture patterns including cloud-native, microservices, event-driven, domain-driven design, API design, and data architecture.
  • Demonstrated experience applying enterprise-authorized AI capabilities within architecture and engineering workflows with awareness of data sensitivity.
  • Advanced knowledge of software architecture, application development, and technical processes in one or more disciplines like cloud, AI, or machine learning.
  • Experience with financial services domain architecture or active hands-on engagement with coding and prototyping (preferred).

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