The integration of Artificial Intelligence (AI) techniques within engineering processes has significantly reshaped the design and operation of urban environments. This paper investigates recent applications of AI-driven methods in engineering, with particular attention to urban-scale problems, including mobility optimization, infrastructure monitoring, and adaptive systems for resource management. We survey multiple case studies, illustrating how AI systems have been employed not merely as analytical tools but as active agents in autonomous decision-making pipelines. The review highlights emerging patterns, challenges, and opportunities in the deployment of AI within city-scale engineering ecosystems.