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47,000 job listings reveal the engineering roles that AI is creating

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47,000 job listings reveal the engineering roles that AI is creating

Every major transformation in tech has led to roles merging, then new ones emerging. Friction between developers and operations drove the creation of the DevOps engineer. Then, when security needed to be considered throughout the delivery pipeline, DevSecOps emerged.

The team beyond the AI-native talent and services platform Andela analyzed 47,000 recent engineering job postings from Fortune 500 companies. This research, released on Thursday, uncovered more than 2,000 skills that pour into 23 emerging job titles. None of these are coming out of nowhere; they strategically merge existing skill sets to create new roles. 

Among 1,832 postings titled primarily for AI or ML engineers, 53% contained at least two skills drawn from different established roles, Andela finds.

In today’s tighter economy and amid AI, companies seem to be going one of three ways. They are lumping too much work and required experience into now-nebulous AI engineer or machine learning (ML) engineer job titles. They might be looking to replace tech workers with AI. But more forward-thinking organizations are reworking job titles and descriptions to reflect the demands of getting AI safely and efficiently through the software delivery lifecycle. 

Cory Hymel, head of research at Andela, tells The New Stack, “If you’re going to look to deploy AI within your organization, the way to look at it is that an AI has a certain set of skills, and then a human has a certain set of skills.

“If you Venn diagram those and see where they cross over, an AI should do the skills it can.


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