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 agile workplace.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 deploymentsRequirements:
Proven RAG pipeline design experience in production settings
Strong background in Graph RAG architectures
Skills in databases like Neo4j, Neptune, or others
Proficient in Python and Azure cloud settings
Knowledge of AI explainability and performance evaluationLead innovative AI projects that drive efficiency and insight in wealth management.#J-18808-Ljbffr

📌 Advanced Graph Ai Engineer Role Toronto
🏢 BeachHead
📍 Toronto