Process Systems Engineering (PSE) is the scientific discipline of integrating scales and components describing the behavior of various systems via mathematical modeling, data analytics, synthesis, design, optimization, monitoring, control, and many more. The emergence of Artificial Intelligence (AI) has provided an opportunity to re-assess the role of data, models and algorithms in the context of the evolving role of PSE. This article provides a critical guide in understanding and unlocking the potential opportunities and synergies that AI can offer empowering the next generation of PSE developments towards truly Augmented Intelligence driven methods and tools.