Jobs → Data & Analytics → AI Data Engineer

About the Role Our client is seeking an AI Data Engineer to join its Data Engineering team, building ingestion and transformation pipelines and GenAI-enabled workflows on Snowflake and AWS, and packaging them as Snowflake Native Apps. Key Responsibilities • Design and build scalable data ingestion and transformation pipelines in Snowflake and AWS • Develop GenAI-enabled workflows using Snowflake Cortex AI or an equivalent production LLM platform, including structured extraction from free text at scale • Package solutions as Snowflake Native Apps using the Native App Framework and Snowpark • Implement ML/LLM observability, evaluation design, and drift monitoring • Define and track data quality and model quality KPIs • Build CI/CD and infrastructure-as-code for pipeline deployment • Support production rollout, documentation, and handoff to operations teams Requirements • 10+ years of experience, including 5+ years in data engineering and 2+ years of hands-on GenAI application development • Advanced Snowflake: SQL, Tasks/Streams, stored procedures, performance tuning • Snowflake Cortex AI or equivalent production LLM platform • Snowflake Native App Framework / Snowpark • AWS: S3, Lambda, Glue, Step Functions, DynamoDB, EC2, CloudFormation, Kinesis • Production-grade Python • CI/CD (GitHub Actions/Jenkins) and IaC (Terraform/CloudFormation) • ML/LLM observability (Arize or comparable), evaluation design, and drift monitoring.