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.
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