Post by Tenth Revolution Group

GenAI hiring is becoming more practical, and more expensive to get wrong. The early AI hiring market rewarded novelty. Now, enterprise demand is consolidating around roles that can turn AI into reliable delivery. What we’re seeing in-market: Applied AI and ML engineers embedding AI into real products and workflows LLMOps and MLOps specialists managing performance, monitoring and reliability AI Product roles connecting use cases to business value FinOps, cloud economics and platform product talent moving closer to AI delivery AI governance, model risk and data governance roles accelerating as regulation tightens Here’s the tension. AI teams need speed, but speed without cost control and governance creates risk fast. Hire too narrowly for AI engineering and you miss the operating model. Hire too broadly for AI strategy and delivery stalls. The strongest teams are not chasing AI job titles. They’re hiring for production outcomes, cost discipline and accountability across the full lifecycle. Is your AI hiring strategy built around skills that scale, or titles that already feel outdated? 👉 More enterprise hiring insight: https://lnkd.in/dBqyny2p #GenAI #AIHiring #FinOps #AIGovernance #TenthRevolutionGroup #EnterpriseAI #TechHiring