Staff Software Engineer (Enterprise Data & AI, Intelligence Platform)

Riot Games as a Staff Data and AI Engineer on the Enterprise Data & AI team. In this role, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will design and operate production data pipelines in Databricks, integrate and curate data through a medallion architecture, and define semantic and domain models in Unity Catalog. You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities. The ideal candidate is a hands-on data and software engineer with experience in data engineering, software or application engineering, and an adjacent enterprise technology role.

Concevoir et exploiter des pipelines de données de production dans Databricks, intégrant et organisant les données à travers une architecture de médaillon.

For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position

Responsibilities

• Collaborer avec des experts en la matière pour définir et faire évoluer les modèles de domaine, d'ontologie et sémantiques dans Unity Catalog, puis organiser des produits de données fiables.
• Construire des agents et des applications augmentées par la récupération directement sur ces données gouvernées en utilisant les capacités de Databricks.
• Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products

Requirements

• Bachelor’s degree in a related field, or equivalent practical experience
• 8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role
• Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support

Preferred

• Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability
• Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar
• Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving
• Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage
• Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built

Experience with dimensional modeling or master data management

• Experience with GCP or AWS data services, dbt, containers, or serverless computing
• Experience with enterprise or federated search, vector databases, or permission-aware retrieval
• Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools
• Experience with LLM or agent evaluation and observability, such as MLflow tracing
• Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI
• Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad

Pay

USD 192,500 - 269,400