Industry experts and members of the Forbes Tech Council said the job title "AI Engineer" is now outdated [1].
This shift signals a transition from generalist implementation to a specialized workforce. As AI tools automate basic design and development, companies require distinct skill sets to manage the different stages of the AI lifecycle—from rapid prototyping to large-scale deployment.
According to the Forbes Tech Council, AI work has fragmented into multiple specialized roles with unique workflows and operating models [1]. These new granular positions include rapid prototypers, full-stack builders, and reliable scalers [1]. This evolution reflects a move away from a single, catch-all position toward roles tailored to specific technical needs.
Other industry publications suggest that the broad designation of an AI engineer is no longer functional. "The 'AI engineer' role is a myth," CIO.com said.
Companies are now diversifying their hiring to include non-traditional technical roles. The Next Web said that AI firms are hiring philosophers, evangelists, vibe coders, and forward deployed engineers [3]. These new AI-related positions carry a wide salary range, spanning from $108,000 to $500,000 [3].
This fragmentation occurs as the industry matures. While some observers cite concerns regarding potential job losses due to the rise of AI technologies, others suggest that AI may create more jobs than it destroys.
The move toward specialization allows firms to address the complexity of maintaining AI systems. By separating the role of a "vibe coder" from a "reliable scaler," organizations can better manage the tension between creative experimentation and industrial stability.
“The 'AI engineer' role is a myth.”
The obsolescence of the 'AI Engineer' title indicates that artificial intelligence has moved past the early adoption phase. Instead of needing generalists to simply make the technology work, companies are now optimizing for specific business outcomes—such as ethics, scalability, and user experience—which requires a more sophisticated and fragmented labor market.
