Originally published on AI Tech Connect.
There is a growing category of engineering job that did not meaningfully exist before organisations started letting language models call tools with real credentials against real systems. It is not alignment research, and it is not classic application security with a new logo on the slide deck. It is the work of making sure that a system which reasons in natural language, holds credentials, and takes irreversible actions cannot be talked into doing something its operator never authorised. This guide is about how to get into that work, deliberately, from where you are. It is written to still be useful in 2028, so it anchors on two things that persist: the structure of the roles, and the proof-of-work method that gets people hired into them. Tool names and pay bands are given as dated…
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