  Artificial Intelligence has been transforming industries and academic
research across the globe, and research software development is no exception.
Machine learning and deep learning are being applied in every aspect of the
research software development lifecycles, from new algorithm design paradigms
to software development processes. In this paper, we discuss our views on
today's challenges and opportunities that AI has presented on research software
development and engineers, and the approaches we, at the University of Florida,
are taking to prepare our workforce for the new era of AI.
