JPMorgan Chase
Principal Architect, AI-Native Engineering Platforms
$204K–$285K
Jersey City, NJ · Principal · Full-time · Posted Aug 26, 2026
- Experience
- 10+ years of applied experience; 10+ years in software engineering and architecture.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads architecture strategy and engineering standards for AI-native platforms, modernizing business-critical systems and governing enterprise-scale technology decisions in Asset and Wealth Management.
What you'll do
- Define AI-native engineering architecture, patterns, guardrails, and governance across the SDLC.
- Lead cloud-native modernization, architecture governance, and simplification across business-critical platforms.
- Mentor engineering teams and establish reusable, secure, traceable AI-enabled engineering practices.
What they ask for
- Formal training or certification in software engineering concepts and 10+ years of applied experience.
- 10+ years in software engineering and architecture, with progressive technical leadership of architecture or engineering teams at scale.
- Proven senior or principal architect experience defining enterprise architecture vision and governing technology decisions across multiple lines of business.
- Hands-on experience modernizing complex systems at scale, including CI/CD, automated testing, infrastructure-as-code, secure SDLC, and AI or automation in engineering workflows.
Nice to have
- Experience deploying agentic AI in engineering workflows, including operating model design and adoption strategy.
- Financial services domain architecture experience in trading, portfolio management, client lifecycle, or wealth management platforms.
Pay
USD 204,250.00-$285,000.00 base salary
Tools
CI/CD, infrastructure-as-code, cloud-native, microservices, event-driven, domain-driven design, API design, data mesh
AI focus
Defines and governs AI-native engineering strategy and agentic AI workflows across the SDLC, including code generation, testing, conformance checking, release automation, and architecture analysis, with human validation and safety, quality, security, and auditability controls.
Model-written summary · the original posting is authoritative