Drimva

JPMorgan Chase

Senior Lead Architect – Commercial Card Payments Technology

$142K–$225K

Chicago, IL +3 · Senior · Full-time · Posted Oct 21, 2026

Location
Chicago, IL
Tampa, FL
Plano, TX
Wilmington, DE
Experience
5+ years applied experience.
Education
Formal training or certification on software engineering concepts.

About the job

Shapes architecture and contributes hands-on to secure, scalable, resilient, AI-enabled Commercial Card payment platforms.

What you'll do

  • Represent Commercial Card platforms in architecture and technical governance forums, and guide architecture decisions and standards.
  • Design, develop, review, and debug production code and reference implementations; provide technical guidance to engineering and product teams.
  • Evaluate technologies, including AI-assisted tools, and promote responsible AI-enabled engineering practices and continuous improvement.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability; practical experience building and operating cloud-native solutions.
  • Advanced proficiency in one or more programming languages, platforms, or architectural styles, with solid software architecture and application design knowledge.
  • Ability to independently solve complex problems and work in AI-augmented development environments; demonstrated teamwork, inclusion, and mentoring.

Nice to have

  • Experience designing or modernizing commercial card or payments systems; familiarity with card processing, fraud or risk solutions, and ledger concepts.
  • Exposure to platform modernization, API-led or event-driven architectures, and resiliency and scalability patterns.

Pay

USD 152,000.00-$225,000.00 base salary (Chicago, IL); USD 142,500.00-$215,000.00 base salary (Tampa, FL); USD 152,000.00-$225,000.00 base salary (Plano, TX); USD 152,000.00-$225,000.00 base salary (Wilmington, DE)

Tools

cloud-native solutions, AI-assisted development tools, AI/ML-adjacent architectures, microservices, asynchronous messaging, API-led architectures, event-driven architectures

AI focus

Evaluate AI-assisted development tools and intelligent platform capabilities; contribute to guardrails for responsible AI use and enable AI-augmented engineering workflows and SDLC practices.

Model-written summary · the original posting is authoritative

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