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 post 47,000 job listings reveal the engineering roles that AI is creating appeared first on The New Stack .
A recent analysis of 47,000 engineering job postings from Fortune 500 companies reveals new AI-driven roles emerging in the tech industry. Andela, a team specializing in AI-native talent and services, found over 2,000 skills that combine into 23 emerging job titles. Among 1,832 postings primarily for AI or ML engineers, 53% contained at least two skills from different established roles.
Companies are handling AI in one of three ways: lumping too much work into vague job titles, replacing tech workers with AI, or reworking job titles and descriptions to reflect AI demands throughout the software delivery lifecycle.
Cory Hymel, head of research at Andela, explains that AI has specific skills and humans have broader skill sets. An AI should perform skills it can handle, while humans maintain a larger skill circle. These emerging roles bridge skills from several existing ones, focusing on specific operational or product needs tied to AI adoption. The top five new engineering jobs identified are: MLOps pipeline engineer, LLM application engineer, FinOps reliability engineer, Docs-as-Code engineer, and Product frontend engineer.
Hymel emphasizes that while some "soft" business skills are becoming more crucial, direct transitions between finance, marketing, engineering, and sales are unlikely. Job descriptions and resumes are currently ineffective for large enterprises, leading to misaligned hiring processes. Companies must revise job postings and titles to attract the right talent, as generic job titles dilute the hiring pool and result in poor hires.
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