Jobs → Data & Analytics → AI Data Engineer

About the Role We are looking for an AI Data Engineer to join our team at Hyatt. This role focuses on developing and implementing AI and data engineering solutions using Snowflake, AWS, and GenAI technologies. Key Responsibilities • Design and implement production GenAI/LLM applications • Develop and maintain ETL/ELT pipelines for data processing • Implement data cleansing, normalization, and deduplication processes • Create and manage human-in-the-loop workflows and taxonomy-driven classification • Ensure data security and governance through RBAC, masking, and row access policies • Perform prompt engineering, versioning, and LLM evaluation • Implement CI/CD pipelines using GitHub Actions or Jenkins • Utilize IaC tools like Terraform or CloudFormation Requirements • 8+ years of experience, including 5+ years in Data Engineering • 2+ years of hands-on production GenAI/LLM application development • Strong experience with Snowflake, Advanced SQL, Tasks, Streams & Stored Procedures • Experience with Snowflake Cortex AI and Snowflake Native App Framework • Proficiency in Snowpark (Python/Scala) and containerized AI/ML services • Experience with AWS services: S3, Lambda, Glue, Step Functions, DynamoDB, EC2, CloudFormation & Kinesis • Knowledge of Python, ETL/ELT pipelines, data cleansing, normalization, deduplication & structured text extraction • Understanding of human-in-the-loop workflows and taxonomy-driven classification • Experience with Snowflake security & governance: RBAC, masking, row access policies and tagging • Skills in prompt engineering, versioning, LLM evaluation, regression testing & fallback logic • ML/LLM observability using Arize or similar tools; drift monitoring and quality metrics • CI/CD: GitHub Actions/Jenkins; IaC: Terraform/CloudFormation • Data privacy, customer data compliance, Windows automation & scripting • AWS or Snowflake certifications • Bachelor’s degree in CS, Engineering, Data Science, or equivalent experience