Design, build, and maintain production AI/ML features, including LLM-powered workflows, retrieval-augmented generation, evaluation frameworks, and reliability guardrails. Develop semantic and metrics layers and data transformation pipelines, while collaborating with stakeholders and monitoring system performance and quality.
Design, build, and maintain scalable data pipelines and dbt models that deliver reliable, well-structured data to the cloud warehouse. Improve data platform reliability and quality, collaborate with cross-functional stakeholders, and support analytics, dashboards, and self-service data access.
