Pega Lead System Architect (LSA) - Payments Investigations

Location - Pittsburgh PA

Job 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.

Key Responsibilities

• 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

Required Skills & Experience

• 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