Agentic AI Engineer

Kelly; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Kelly, a leading tech solutions provider in Toronto, seeks an experienced Agentic AI Engineer to design, build, and deploy enterprise-grade AI systems using agentic architectures. You will collaborate with data scientists and engineers to translate requirements into scalable AI solutions in Azure and Databricks environments.

You will implement agent orchestration, memory/state management, data governance, and security controls to ensure compliance, performance, and reliability across production

Qualifications

• Experience designing and deploying Agentic AI solutions in enterprise settings.
• Strong knowledge of agent orchestration, memory/state management, and security.
• Experience with Azure cloud and Databricks production environments.

Responsibilities

• Design and develop multi-agent AI systems for enterprise use cases.
• Implement agent orchestration, tool calling, and memory/state management.
• Ensure security, governance, and compliance for deployed AI solutions.
• Collaborate with data scientists, engineers, and stakeholders to translate requirements.
• Deploy and monitor AI solutions within Azure and Databricks environments.

Skills

Agentic AI

Multi-agent architecture

Cloud deployment (Azure)

Data governance

Security & access controls

Tools

Databricks

Azure

Governance tooling

Job description

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.
• Strong 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.