Staff Data & AI Engineer — Enterprise Data Platform

Riot Games; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Riot Games is seeking a Staff Data and AI Engineer to design and operate governed data pipelines in Databricks, defining semantic models and secure data products. You will build production AI applications and agents leveraging Mosaic AI and Unity Catalog, collaborating with SMEs to evolve domain models.

You will own architecture, data quality, and observability, delivering reliable data products while applying strong engineering practices and ensuring auditable, secure systems.

Qualifications

• Hands-on experience building production data pipelines, including ingestion, semantic modeling, data quality, and lineage.
• Hands-on Databricks experience, including Unity Catalog, medallion architecture, Mosaic AI or model serving.
• Experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications.

Responsibilities

• Data Pipelines and Semantic Layer (Primary) – build and operate pipelines ingesting source data into Databricks in a medallion architecture with lineage and access controls.
• Define domain and semantic models in Unity Catalog with SMEs; curate reliable data products.
• Own data quality, testing, monitoring, and alerting for pipelines and products.

Skills

Python

Databricks

CI/CD

Data Pipelines

Model Serving

Security & Governance

APIs & Integration

ML Platforms

Education

Bachelor's degree

Tools

Unity Catalog

Mosaic AI

LangGraph

LangChain

Job description

Riot Games is seeking a Staff Data and AI Engineer to design and operate governed data pipelines in Databricks, defining semantic models and secure data products. You will build production AI applications and agents leveraging Mosaic AI and Unity Catalog, collaborating with SMEs to evolve domain models.

You will own architecture, data quality, and observability, delivering reliable data products while applying strong engineering practices and ensuring auditable, secure systems.