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# Pega Lead System Architect (LSA) - Payments Investigations

- **Company:** Capgemini
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Payment Systems, Productivity Software, Systems Development Life Cycle, Queue Management Systems, Systems Architecture, Pega, Cloud Platform System, SOAPAPI, Event Driven Architecture, Api Design, Microservices
- **Published:** June 13, 2026
- **Apply:** https://dejobs.org/x/x/04E7260F1B194A6889AE37C1D50BEE01/job/

## About the Role

* Pega LSA certification (mandatory) with strong expertise in Pega 8.x / Infinity platform
 * Hands-on experience in Pega Smart Investigate / Smart Dispute and advanced case management design
 * Deep domain knowledge in payments investigations, SWIFT messaging (MT/MX), ISO 20022, and exception handling
 * Strong experience in integration architectures (REST/SOAP APIs, event-driven systems, microservices)
 * Proven ability to design high-volume, scalable systems with queue processing, SLA management, and workload distribution
 * Exposure to cloud environments (Pega Cloud, AWS preferred) and modern enterprise architecture patterns
 * Familiarity with AI/GenAI integration, automation frameworks, and productivity tools in enterprise platforms

## Description

We are seeking a highly experienced Senior Pega Lead System Architect (LSA) to lead the design, development, and transformation of enterprise-scale Payments Investigation platforms using Pega Smart Investigate (SI).

The role focuses on building scalable, AI-enabled, high straight-through-processing (STP) solutions for complex wholesale banking operations involving SWIFT, cross-border, and ISO-based payments ecosystems., * Lead end-to-end architecture and design of Pega Smart Investigate (SI) solutions, ensuring scalability, security, and API-first integration

 * Design and optimize payment investigation workflows across SWIFT (MT/MX), ISO 20022, and cross-border payment systems
 * Define and govern case lifecycle management including case intake, routing, orchestration, and resolution
 * Drive implementation and delivery of SI platforms, ensuring adherence to Pega guardrails, SDLC, and performance standards
 * Enable AI-driven automation, including intelligent routing, case enrichment, and integration with GenAI/agent-based solutions
 * Improve platform performance and STP rates through queue management, SLA optimization, and workload orchestration
 * Collaborate with stakeholders and lead onshore-offshore teams, providing architectural guidance and ensuring successful program delivery


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