Many Generative AI projects fail due to poor team design, and in this week's video I describe how to organize your team for success.

Working with LLMs isn't traditional data science, programming, or machine learning. LLMs represent a new programming interface, and it takes 6-12 months to become proficient. We call this role an AI Systems Engineer--combining the experimental mindset of a data scientist with the big-picture view of a systems engineer.

We've created a job description for AI Systems Engineers, and you can download a free copy here. Engineers with backgrounds in data science, software engineering, or systems engineering can transition into this role with time and dedication. Even product and project managers with minimal technical experience are successfully building LLM-based solutions.

So, where do you learn how to become an AI Systems Engineer?

Start by exploring Performance-Driven Development, then just jump in and start building. Good luck!