Design, configure, develop, integrate, troubleshoot, and implement Pega AI capabilities and Customer Decisioning Hub (CDH) solutions.
Lead hands-on implementation of Pega AI features, including Knowledge Buddy and Voice AI, and apply Pega guardrails and best practices throughout delivery.
Build and optimize AI-powered decisioning strategies such as Next-Best-Action, Strategy Designer, adaptive and predictive models, and real-time decisioning.
Integrate Pega with enterprise APIs, data platforms, and external AI services, including LLMs, while ensuring reliable event-driven and real-time integrations.
Support AI governance and model governance requirements, including responsible AI considerations, and continuously improve performance and reliability of AI/decisioning components.
What's Needed?
Pega Certified Lead System Architect (CLSA) certification (must-have).
Experience implementing Pega CDH (Customer Decisioning Hub), with strong hands-on capability in customer decisioning strategies and engagement policies.
Hands-on Pega AI experience (preferred), including Pega Knowledge Buddy and/or Pega Voice AI; if not available, demonstrate other forms of AI within Pega.
Strong experience with REST APIs and working with JSON, XML, and SQL, including integration patterns for real-time and event-driven systems.
Experience with customer profiles, propositions, eligibility rules, and customer journeys, plus familiarity with AI governance/model governance