AI engineering can vary in difficulty depending on your background, experience, the complexity of the projects you’re working on, and the specific subfields of AI you’re going into. Data Analysis and preprocessing, for example, might be easier to do than building deep learning architectures, which requires deep expertise, or doing AI for healthcare or finance which is more high stakes.