My thought on what an AI engineer is; an individual who uses AI and machine learning techniques to develop applications and systems that can help organizations

My thought on what an AI engineer is; an individual who uses AI and machine learning techniques to develop applications and systems that can help organizations increase efficiency, reduce costs, increase profits, and make better business decisions 1 . AI engineers play a crucial role in helping enterprises leverage the capabilities of large language models (LLMs) like GPT-3 and beyond, this means that they will, “Develop Domain-Specific Models” AI engineers can fine-tune LLMs to create domain-specific models to ensure that the data and the business process align to provide more context. For example, a model fine-tuned on medical literature can assist doctors in diagnosing diseases or answering patient queries, ect. “Data Preparation and Management” By this, I presume they will be involved in cleaning the data, dealing with missing or inconsistent data, and ensuring the data is representative of the task the model will be performing. “Integration with Existing Systems” they will help integrate these AI models into the existing IT infrastructure of an enterprise. This can involve developing APIs, designing user interfaces, and ensuring the model's outputs can be used by other systems or processes. Etc… I believe that they enable organizations transform data into knowledge and ultimately, into wisdom - the highest level of data maturity. This is particularly true when dealing with domain-specific models, which can provide highly targeted and context-specific insights. When you can reach a level of data maturity that enbles actions on data, this is where AI will drive the change that is just starting. It’s very exciting to watch it unravel, not because of the possibility of generating a sentient machine, but with the possibility that will drive new fields of discovery that has been under our noses, and these tools will help us make sence of it all, IMHO.