Originally published on AI Tech Connect.
What the role actually is An AI governance engineer takes an obligation that exists on paper and turns it into a control that runs in continuous integration. That is the whole job, stated plainly. The obligation might come from a statute, from a regulator's expectations, from a client contract or from an internal risk policy. The control is a piece of software: a test that fails a build, a gate that blocks a deployment, a policy check that refuses to merge, a routing rule that cannot be bypassed, a log that produces the evidence an auditor will ask for eighteen months later. The reason this is a distinct job rather than a task that someone else absorbs is that it requires two skill sets which almost never sit in the same person. You need to be able to read a legal instrument closely…
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