This session examines the architectural principles for engineering large-scale, resilient, AI-enabled, and secure enterprises. As generative AI becomes embedded in mission-critical workflows, traditional cloud modernization approaches prove insufficient. We explore AI-native architecture patterns, distributed cloud topologies, and zero-trust security frameworks that enable scalability, reliability, and governance at enterprise scale. A layered reference architecture integrates microservices, event-driven orchestration, AI inference and RAG pipelines, observability, and policy-as-code controls. Emphasis is placed on resilience engineering, including fault tolerance, multi-region deployment, model validation, drift detection, and secure DevSecOps integration, outlining a structured pathway from cloud-native to AI-native enterprises.