Lead Agentic AI architecture and enterprise automation delivery in a hybrid arrangement, working from the office two days weekly. Shape healthcare outcomes through scalable solutions. As Lead Agentic AI Solutions Architect, you will own strategy, architecture, implementation, deployment, and optimization. You will identify high-value use cases, design agentic systems, and embed Responsible AI practices. The work spans LLMs, AI agents, retrieval systems, orchestration frameworks, APIs, and cloud-native platforms. Key Responsibilities:

Own Agentic AI solutions from discovery through operational support Prioritize AI use cases aligned with measurable business outcomes Design architectures integrating Agent Hub, platforms, APIs, and workflows Establish governance, security, observability,



and reusable AI capabilities Mentor engineers and architects across multiple technical teams Requirements:

10+ years in software engineering or solution architecture 5+ years designing enterprise AI-enabled solutions Robust Python and Agentic software engineering proficiency Experience with MCPs, APIs, microservices, and event-driven architectures Degree or equivalent; Master's or Doctorate may reduce experience requirements Apply your Python, architecture, and Responsible AI expertise to enterprise Agentic AI delivery and automation.

📌 Lead Agentic AI Solutions Architect (Mississauga)
🏢 Artech
📍 Mississauga