You Do Not Need a PhD to Become an AI Engineer: The Essential Skill Stack

Something strange happened on LinkedIn's list of the fastest-growing jobs in the United States this year. The top spot did not go to a nurse practitioner or a renewable energy technician. It went to a job title that barely existed before 2023: AI engineer, ranked first for the second year in a row. The most common skills listed next to that title were LangChain, retrieval-augmented generation, and PyTorch, none of which show up in a typical computer science curriculum.

I have spent over 20+ years building systems that were not allowed to be wrong, including a loan accounting platform whose output fed directly into SEC-reported numbers for major U.S. banks, and Kafka-centric, event-driven platforms processing product data across 29 languages. The engineers I mentor who thrive as AI engineers are rarely the ones with the deepest math background. They understand the right order to learn things in, and why that order matters.