Summary: Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI requires orchestrating ML model invocations (content understanding classifiers, embedding models, LLM-based cleaners) alongside standard SQL-based transformations, all at billion-row scale.This role sits at the intersection of Data Engineering and ML Systems. The Senior AI Data Engineer will own end-to-end data pipelines that don't just move and