Position Overview:

We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions using modern agentic architectures. The ideal candidate will have strong hands-on experience with Agentic AI, Databricks, Azure, and enterprise data governance.

Key Responsibilities:

• Design and develop multi-agent AI systems and agentic workflows for enterprise use cases.

• Implement agent orchestration, tool/function calling, memory/state management, and agent identity and permissions.

• Build secure, scalable, and production-ready AI solutions with appropriate governance and monitoring.

• Develop and manage AI/data solutions using Databricks and associated data engineering capabilities.

• Integrate enterprise data sources and implement data processing, analytics, and AI workflows.

• Establish and manage data governance, data lineage, metadata, and data quality practices.

• Deploy and operationalize AI solutions within Azure cloud environments.

• Collaborate with data scientists, engineers,



architects, and business stakeholders to translate requirements into scalable AI solutions.

• Ensure AI applications meet enterprise standards for security, compliance, performance, and reliability.

Qualifications:

• Strong hands-on experience developing and deploying Agentic AI solutions in enterprise environments.

• Proven experience with multi-agent architecture, agent orchestration, tool calling, memory/state, and agent security.

• Hands-on experience with Databricks in production data or AI environments.

• Robust understanding of data governance and data lineage.

• Experience with cloud-based AI/ML solutions, preferably Microsoft Azure.

• Experience deploying and supporting AI solutions in production environments.

• Strong understanding of AI security, governance, access controls, and enterprise architecture.

📌 Agentic AI Engineer (Toronto)
🏢 Kelly
📍 Toronto