The market has spoken - the role of “AI Prompt Engineer” has fallen short of expectations. Are there any dedicated AI roles out there moving the needle in your organization?

Small teams focused on building expert SLMs tuned to amplify 1 or many core strengths of "Any Company" competitive advantage in a specific domain. Outside of this, overall governance ethics etc. is required, but doesn't necessarily "move the needle" within an organization, but is still required. 

AI/ML Engineers to bridge the gap between research and application focused on model selection (student-teacher) fine-tuning, performance optimization, building agent orchestration and logic for multi-agent systems. 

Data Scientist/Analyst to focus on the data aspect, ensure quality, relevance, bias detection/mitigation, and data availability for training SLMs and Expert Models. 

Domain Expert to provide subject matter expertise and context, defining requirements, guiding data annotation, validating model outputs, and incorporating user feedback.

At our company, AI and GenAI tooling and skills are adopted by everyone.  We have some roles in Software Development, AI Governance, Communication and Training, as well as Auditing functions that have taken on additional responsibilities to use AI, review risk and provide guidance on AI, or communicate and train about the available tools and progress, but nothing that is solely dedicated to AI.  AI and GenAI are simply new skills that need to be added to every job role.