Job Description As a Senior AI Engineer, they will be working on Snowflake LLM observability, working with the system of record and execution layer for enterprise LLM workloads in snowflake. This is for a CRM product being built for on‐property guests and workers of this global hotel chain. This project is for a customer relationship management capability used directly by hotel level (property level) staff to recognize, personalize, and serve guests while they are physically on site—before arrival, during the stay, and at checkout. Unlike a central or corporate CRM (used by marketing, loyalty, or sales teams), on‐property CRM is designed for front line hotel colleagues and day‐of‐stay operations. This term is used internally in the context of guest personalization and colleague‐facing tools. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected]. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 2+ years as an AI Engineer Snowflake LLM observability experience Prompt Engineering LLMs Python and SQL expertise Great communication, collaborative team player; Arize for LLM observability, evaluation, and monitoring (Cortex) Cloud Data Engineering with AWS #J-18808-Ljbffr
