Architectural Frameworks for AI-Enhanced Cloud Systems in Large-Scale Enterprise Deployments Vijay Kumar Adari Cognizant Technology Solutions, USA
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806024Keywords:
Cloud Architecture, Ai-Driven Orchestration, Enterprise Scalability, Performance Optimization, System ReliabilityAbstract
Contemporary cloud infrastructure design demands approaches extending beyond traditional horizontal scaling and automated infrastructure management. This article examines architectural frameworks necessary for constructing AI-enhanced cloud platforms capable of maintaining enterprise-level performance and operational scalability. The article looks at how AI helps manage workloads, smart processing systems, and flexible monitoring tools that improve speed while lowering delays. Furthermore, this study addresses architectural considerations for merging AI-based optimization with security protocols, dependability requirements, and governance frameworks. By viewing performance as a natural part of the system instead of something that can be adjusted, this article provides advice for designers creating enterprise cloud platforms that maintain efficiency, strength, and the ability to grow while handling constant workloads
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