Drimva

JPMorgan Chase

Principal Architect- Agentic Commerce transformation

$176K–$260K

Chicago, IL · Principal · Full-time · Posted Oct 26, 2026

Experience
10+ years of applied experience; no alternative stated.
Education
Formal training or certification on architecture concepts.

About the job

Leads the target-state architecture for B2B Commerce transformation, spanning payment orchestration, supplier services, multi-rail payments, cloud systems, and AI-enabled platforms.

What you'll do

  • Define and lead scalable, secure, resilient architecture for B2B Commerce and payment services.
  • Architect cloud-native distributed systems and AI/agentic systems, establishing reusable patterns and controls.
  • Partner across business and technology teams to guide delivery, influence architecture decisions, and communicate strategy to senior leaders.

What they ask for

  • Formal training or certification in architecture concepts and 10+ years of applied experience.
  • Hands-on experience designing and delivering large-scale distributed systems and production software.
  • Deep knowledge of cloud-native architecture, APIs, microservices, event-driven systems, data architecture, resiliency, security, observability, and performance; strong software engineering foundation.
  • Experience designing AI, generative AI, or agentic systems for enterprise platforms; experience with AWS and enterprise AI platforms such as Amazon Bedrock or equivalent; experience applying Spec-Driven Development (SDD) and AI-assisted engineering.

Nice to have

  • Experience in B2B or commercial payments, transaction banking, payment networks, multi-rail payments, routing, or orchestration.
  • Experience with supplier onboarding, AP/AR automation, remittance, reconciliation, ERP integration, or payment execution.

Pay

USD $175,750.00-$260,000.00 base salary (Chicago, IL)

Tools

AWS, Amazon Bedrock, APIs, microservices, event-driven systems, Spec-Driven Development (SDD)

AI focus

Architects AI, generative AI, and agentic systems, including orchestration, grounding, memory, tool integration, observability, and controls; establishes reusable AI patterns and applies AI-assisted engineering.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)