Principal Architect- Agentic Commerce transformation
Salary not listed • Chicago, IL, United States • Full-time
Posted 4d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
JPMorgan Chase is seeking a Principal Architect to lead the transformation of B2B Commerce and payments. This role is crucial for shaping the future of financial services technology and driving significant business impact. You will be responsible for defining the target-state architecture and implementing modern cloud, distributed systems, and AI engineering practices to accelerate a strategic growth initiative.
Responsibilities
- Lead target-state architecture for B2B Commerce, translating business strategy into scalable, secure, and resilient technology solutions.
- Drive architecture across intelligent payment orchestration, supplier network services, and multi-rail payments.
- Design modern cloud-native and distributed systems using APIs, microservices, event-driven, and data architecture patterns.
- Architect AI and agentic systems, including orchestration, grounding, memory, tool integration, observability, and controls.
- Establish reusable AI patterns leveraging AWS, Amazon Bedrock, and enterprise data and services.
- Champion Spec-Driven Development (SDD) and AI-enabled engineering to improve quality, traceability, reuse, and delivery velocity.
- Partner across Product, Engineering, Data, AI, Risk, and Architecture teams to align efforts and drive delivery.
- Serve as a senior technical leader, influencing architecture decisions and communicating strategy to senior leaders.
Requirements
- Formal training or certification on 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 with expertise in at least one programming language.
- Experience designing AI, generative AI, or agentic systems and integrating them into 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 practices.
- Ability to influence across engineering teams and communicate complex architecture decisions to senior leaders.