Elevate your career as a Lead Data & AI Engineer with Vanguard, specializing in building intelligent agent-driven systems. This hybrid role focuses on Databricks and AWS for impactful data solutions. With 9 to 12+ years of experience, you will architect and deploy AI agents within cloud environments. The position emphasizes data engineering and AI agent orchestration, enabling real-time decision-making through cutting-edge frameworks and technologies.

Your role will ensure the seamless integration of data pipelines and AI models for optimized business workflows. Key Responsibilities:
Architect reusable data and AI engineering frameworks
Deploy Delta Live Tables and Lakeflow jobs on Databricks
Schedule AI agent deployments using Databricks Workflows
Integrate real-time data processing with Lakeflow
Manage AI agents with AWS tools like SageMaker

Requirements:
9–12+ years in data engineering with AI deployment
Experience with frameworks like RAG and AgentOps
Proficient in AWS AI/ML services
Robust lakehouse architecture and data modeling knowledge
Expertise in scalable AI-driven workflows

Shape the future of AI within Vanguard's cutting-edge culture through this strategic engineering role.

📌 Lead Data & Ai Engineer At Vanguard Toronto
🏢 Vanguard
📍 Toronto