Founder and Group CEO - Supporting leaders deliver digital transformation (YPO Member)
In the fast moving world of Artificial Intelligence, we are seeing demand for skilled professionals is skyrocketing among our clients. This rapid pace has led to an acute skills gap, which is good for us 😊. Clients frequently seek our advice in categorising AI roles, a task that often sparks a lot of debate due to the dynamic nature of the technology landscape. After thorough data analysis, conversations, and research, we've compiled a list of Job Titles (non-exhaustive) that we think captures the demand we are seeing: Machine Learning Engineer AI Software Engineer Computer Vision Engineer NLP Engineer Prompt / Gen AI Engineer AI Architect Data Scientist Data Engineer ML Ops Engineer AI Product Manager ML/ AI researcher Data Platform Engineer AI Governance What do you think? Feel free to share your thoughts!
This is gold. The industry’s evolving so fast, sometimes even candidates are unsure which title best fits their skill set. Love that you included AI Governance, often overlooked, but absolutely vital. Curious, have you noticed any surprising crossovers between these roles in real-world hiring?
Great list! I’ve been speaking with a lot of enterprise financial services clients, and while there’s huge appetite to adopt AI, many still aren’t sure where or how to start, especially with security, ethics, and the EU AI Act top of mind. Also seeing growing demand for roles that sit at the intersection of tech, compliance, and strategy, like AI governance leads or responsible AI advisors. Feels like AI literacy across the business is becoming just as important as deep technical skills. Are you seeing the same?
Product Engineer ~ React Native/Expo ~ React ~ TypeScript ~ Node ~ Python
2moNo "vibe coder"? 🫠