Pega Lead System Architect (LSA)

Senior Pega Lead System Architect (LSA) responsible for designing, building, and transforming payment investigations platforms using Pega Smart Investigate, enabling scalable, AI-enabled, high-STP operations for wholesale banking environments.

Key Responsibilities

• Architecture & Design
• Lead end-to-end solution architecture for Pega Smart Investigate (SI) platforms
• Define scalable, secure, API-first architectures aligned with enterprise banking ecosystems
• Own case lifecycle design (dispatch, orchestration, resolution)
• Payments Investigation Expertise
• Drive solutions for payment exceptions, investigations, inquiries across SWIFT / Cross-border / MT-MX rails 
• Optimize STP, exception handling, and investigation workflows
• Address complexity across multiple case types and edge scenarios
• Implementation & Delivery
• Lead design, development, and rollout of Smart Investigate solutions
• Govern adherence to Pega guardrails, SDLC, and performance standards 
• Drive modernization including migration, platform upgrades, and decommissioning of legacy systems
• AI & Automation Enablement
• Integrate enterprise AI / agentic automation via APIs into SI ecosystem 
• Enable intelligent routing, case enrichment, and automation (GenAI / LLM / agents)
• Drive productivity improvements and operational efficiency
• Performance & Optimization
• Improve processing throughput, latency, and STP targets
• Design queue processing, agent scheduling, and background jobs 
• Stakeholder Management
• Engage with business, product, and operations stakeholders
• Provide architectural guidance to senior leadership and client teams
• Lead onshore-offshore delivery teams

Required Skills & Experience

Core Pega

• Pega LSA certified (mandatory)
• Strong experience in:
• Pega Smart Investigate / Smart Dispute / Case management
• Case lifecycle design, workflow orchestration
• Integration (APIs, event-driven architectures)
• Expertise in Pega 8.x / Infinity platforms

Payments & Banking

• Deep experience in:
• Wholesale banking / payments operations
• Payment investigations, SWIFT messaging (MT/MX), ISO, CBPR
• Exception processing and inquiry handling

Technical Capabilities

• Architecture patterns, microservices, API-first design
• Queue processing, SLA management, and workload orchestration 
• Cloud exposure (Pega Cloud / AWS preferred)

AI / Advanced Capabilities

• Exposure to:
• AI/GenAI/agent-based automation frameworks
• Productivity tools (Copilot-like capabilities) 
• Experience integrating enterprise AI into core platforms