Notes from a data scientist to the leaders who staff and govern AI agent projects

I read a lot of AI engineer job descriptions out there asking for the same things: "3+ years of LangChain, experience with CrewAI, Google ADK a plus." I understand why. Framework names are concrete, recruiters can screen for them, and candidates who list them look ready to work on day one.

My reaction to this in one sentence: the skills that make an AI agent safe and reliable carry across frameworks, and these skills deserve more weight in hiring decisions and training than mere familiarity with any one tool.

What they have in common is process design.

A scenario worth thinking through

Picture a customer service agent that processes refunds. Three months after launch, it refunds an order that is 45 days old, against a 30-day policy. Finance catches it at month-end.

In a case like this, the root cause often has little to do with how well the engineer knew the framework.…