Experience supporting machine learning or AI through data engineering or infrastructure; an understanding of statistical analysis, experimentation, and data science workflows; and working knowledge of LLMs, embeddings, vector search, RAG, and AI application architecture. 8+ years in data engineering, software engineering, analytics engineering, or a related discipline, including 3+ years leading teams, technical initiatives, or data platform architecture.