The scope of this article is to describe an intelligent architecture at the structural, functional and intelligent service levels to manage the mental, physical and spiritual well-being of higher education teachers supported by neurosignals and industry 4.0 technologies. For the methodological design of the intelligent architecture, the structural layers that make up the architectural model were identified, later the functional requirements that had to be implemented in the intelligent architecture were identified and finally the intelligent services that had to automate the well-being management processes of the patients were modeled. teachers in the area of physics and that can also be replicated to teachers from other disciplinary fields. The main result of this research is the structural and service model of intelligent architecture, which is structured in a welfare services layer and in a knowledge acquisition and management layer. In an additional decomposition level, the functionalities associated with each layer are described, particularly, the services layer encapsulates the functionalities of contextual awareness management, cyberphysical characterization management, dynamic management of support networks, intelligent treatment generator. The knowledge management and acquisition layer includes the management functionalities of repositories of emotional signals, physiological measurements, social activities, social characterization, spiritual characterization, social nodes, work profiles and contexts. Taking as reference the architectural model designed for the intelligent generation of mental, physical and spiritual treatments to improve the quality of life of teachers in the area of physics in higher education, it can be concluded that in times of pandemic the design of platforms is viable smart devices that generate automatic treatments to improve the mental, physical and spiritual indicators of teachers modeled as social nodes through industry 4.0 technologies.