AI Engineering involves integrating principles of software engineering with data science and machine learning to create robust, scalable AI systems. It's not just about building models but encompasses the entire lifecycle from data handling, model selection, and deployment to monitoring and maintenance. It necessitates familiarity with AI techniques and tools like TensorFlow or PyTorch and emphasizes collaboration across diverse teams.