Enterprise architecture is undergoing a fundamental transformation driven by artificial intelligence integration, reshaping infrastructure, development practices, and technical roles. This evolution encompasses the transition from traditional systems to AI-optimized architectures, the emergence of new development paradigms, and the redefinition of technical roles. The transformation extends to performance optimization, security considerations, and scalability requirements, creating a new standard for enterprise systems. The integration of AI capabilities has become essential for maintaining competitive advantage, with organizations implementing sophisticated frameworks for managing AI workloads, ensuring system reliability, and optimizing performance across diverse operational scenarios.

Keywords: AI infrastructure integration, MLOps implementation, enterprise architecture evolution, performance optimization, technical role transformation