Aplying numpy.random.normal in an array

I´ve a huge numpy array (68M records) containing mean and std deviation pairs.

I'd like to create a third column estimated using numpy.random.normal using the other columns values.

It is possible? If it isn´t, what´s the best (fast) way to do that?