Beware, actuarial science will be replaced by AI and the incentives of insurance is high to replace this workforce with AI. Believe me, I have been doing an AI startup in exactly this space
I'm a developer now but by last few years in actuary work were mostly spent helping insurance companies deal with regulation. We did some modeling with with machine learning but ultimately the models that got approved had to be simple (compared to machine learning). My job before that was a lot about internal negotiations with other departments.
Better models were not the main bottleneck.
I think there could be scope to use ML on the pricing side however, while leaving the reserving models explainable to regulators.
If the intent is to codify rules in an AI that performs actuarial work, then it is far less error-prone to simply write a program that uses the rules directly. AI is not the proper solution, if I understand from your post what you are trying to solve.