The Keras functional API enables the construction of complex neural network architectures through non-linear component connections. Key features include residual connections, inception modules, and self-attention mechanisms. Techniques like merging tensors and hierarchical model composition enhance modularity and facilitate sophisticated designs, allowing for precise control over data flow and transformations.