Location
toronto, on, Canada
Posted
July 09, 2026
Job Description
Shape the future of Wealth AI by becoming an Advanced Graph AI Engineer! This pivotal role focuses on developing Graph Retrieval-Augmented Generation solutions for financial clients.
As a Graph RAG AI Engineer, you will create innovative retrieval architectures, maintain intricate knowledge graphs, and optimize data pipelines. Collaborating closely with data teams and architects, you will enhance system explainability and reduce AI-related errors in a dynamic environment.
Key Responsibilities:
• Design and refine Graph RAG solutions to improve data access
• Construct RAG pipelines from data ingestion to generation
• Develop enterprise knowledge graphs for financial applications
• Implement graph-enhanced retrieval combining vector strategies
• Ensure accuracy and robustness in AI system deployments
Requirements:
• Proven RAG pipeline design experience in production settings
• Strong background in Graph RAG architectures
• Skills in databases like Neo4j,...
As a Graph RAG AI Engineer, you will create innovative retrieval architectures, maintain intricate knowledge graphs, and optimize data pipelines. Collaborating closely with data teams and architects, you will enhance system explainability and reduce AI-related errors in a dynamic environment.
Key Responsibilities:
• Design and refine Graph RAG solutions to improve data access
• Construct RAG pipelines from data ingestion to generation
• Develop enterprise knowledge graphs for financial applications
• Implement graph-enhanced retrieval combining vector strategies
• Ensure accuracy and robustness in AI system deployments
Requirements:
• Proven RAG pipeline design experience in production settings
• Strong background in Graph RAG architectures
• Skills in databases like Neo4j,...