Description
The role designs and develops AI agents, prompts, skills, and agentic workflows; collaborates with data scientists, analysts, and product owners to create reusable AI context; reviews and refactors Python and SQL resources; works with Snowflake data structures, semantic views, and semantic models; and evaluates agent recommendations for correctness, reliability, bias, and business relevance. The position requires hands-on experience with modern AI coding environments, prompt and context engineering, software engineering, Python, SQL, data warehouse and BI concepts, and strong communication skills.
