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After AI
Emerging New work created by AI deployment. Evidence is younger and thinner.

AI engineer (applied / LLM)

The single fastest-growing job title in the US, two years running.

Horizon
2025
Pay
62% premium over comparable non-AI roles
Protection from automation
Weakly protected · our reading
+68.9%
AI-specialist postings growth, 2025
PwC 2026
+8.6%
All-jobs postings growth, 2025
PwC 2026
+62%
Average AI-skills wage premium
PwC 2026

Two things are true at once here and they are easy to confuse. The demand is unambiguous — AI specialist postings grew nearly eight times as fast as the overall jobs market in 2025, and the skills premium is real at 62%.PwC 2026

The role, though, is not research. It is production engineering with models in it: retrieval pipelines, evaluation, chasing drift, deciding when an output is reliable enough to ship. That is why the adjacent roles on this page — the ones about deploying and governing rather than building — are growing even faster off a smaller base.

What holds it up
  • Integration and evaluation work that requires judgement about reliability
  • Every AI deployment creates maintenance and monitoring obligations
What threatens it
  • Titles age fast in this space — the same work was 'ML engineer' five years ago
  • A crowded on-ramp: it demands production engineering skill, not curiosity