Here they are from Quartz at Work

  • AI Architect – Responsible for working out where AI can help a business, measuring performance and—crucially— “sustaining the AI model over time.” Lack of architects “is a big reason why companies cannot successfully sustain AI initiatives,” KMPG notes. 
  • AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively.
  • Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.
  • AI Technology Software Engineer – “One of the biggest problems facing businesses is getting AI from pilot phase to scalable deployment,” KMPG writes. Software engineers need to be able both to build scalable technology and understand how AI actually works.
  • AI Ethicist – AI presents a host of ethical challenges which will continue to unfold as the technology develops. Creating guidelines and ensuring they’re upheld will increasingly become a full-time job. 

KPMG also notes there are not enough people in training for these roles so best read the article and start planning.