Generative Ai Data Platform Engineer

Engineer data platforms for Generative AI, RAG, and analytics at RBC Wealth Management in Toronto, using Databricks, Snowflake, Spark, and cloud services.

This data engineering role supports modern AI and BI capabilities across RBC Wealth Management. You will build production-grade infrastructure, integrate models with business workflows, and maintain consistent data assets across development, UAT, and production. The position also contributes to governance, security, automation, and Agile delivery.

Key Responsibilities:

• Build infrastructure supporting AI/ML and analytics workloads
• Connect AI capabilities with workflows through MCPs and APIs
• Automate repeatable data preparation and integration tasks
• Maintain data assets across Dev, UAT, and Production
• Collaborate in sprints, standups, and cross-functional ceremonies

Requirements:

• Degree in computer science, software, data engineering, or related field
• Experience with Databricks, Snowflake, Spark, and cloud-native services
• Familiarity with Generative AI, RAG, vector databases, and LLM serving
• Proficiency with CI/CD tools and infrastructure-as-code practices
• Knowledge of financial, wealth, or investment management is advantageous

Use cloud data platforms, Generative AI workflows, and production engineering practices to advance RBC Wealth Management’s data foundation.

#J-18808-Ljbffr