Consider the following exercise in Numpy array broadcasting.
import numpy as np
v = np.array([[1.0, 2.0]]).T # column array
A2 = np.random.randn(2,10) # 2D arra
NumPy broadcasting adds additional axes on the left.
So if you arrange your arrays so the shared axes are on the right and the broadcastable axes are on the left, then you can use broadcasting with no problem:
import numpy as np
v = np.array([[1.0, 2.0]]) # shape (1, 2)
A2 = np.random.randn(10,2) # shape (10, 2)
A3 = np.random.randn(10,10,2) # shape (10, 10, 2)
v * A2 # shape (10, 2)
v * A3 # shape (10, 10, 2)