Originally published on AI Tech Connect.
What you need to know Two years ago, "AI engineer" was one job. As of July 2026, it is an umbrella over several distinct hiring tracks, each with its own interview rubric, its own pay band and its own definition of proof. LinkedIn still ranks AI engineer among the fastest-growing titles in the market — but underneath that headline, companies from Anthropic and Salesforce to EY, Deloitte and Accenture have spent the first half of 2026 posting job titles that did not exist two years ago. That split changes the career question. It is no longer "how do I get into AI?" — it is "which of these tracks am I actually running on, and can anyone tell from the outside?" The generic title has split into at least five hireable tracks: agentic engineering, evals, infrastructure, context engineering and…
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