Principal Agentic AI Architect•

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Engineering, or related discipline.
- 12+ years of software engineering experience, including 5+ years designing and building enterprise AI/ML platforms.•
- Proven experience architecting and delivering large-scale AI solutions, Agentic AI systems, AI platforms, or multi-agent frameworks in enterprise environments.•
- Deep understanding of the Agentic AI ecosystem including agent orchestration, planning, reasoning, tool calling, memory management, retrieval systems, and autonomous workflows.•
- Hands-on expertise building AI applications using frameworks and platforms such as Google ADK, LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar agentic frameworks.•
- Strong experience designing scalable orchestration layers, tool libraries, context management frameworks, observability solutions, and governance controls for AI systems.•




- Expertise in Retrieval-Augmented Generation (RAG), vector databases, embeddings, enterprise knowledge systems, and document intelligence platforms.•

Experience designing extensible and reusable AI platform architectures capable of supporting multiple business use cases and domains.•

- Strong software engineering background in cloud-native architectures, distributed systems, APIs, microservices, and platform engineering.•
- Deep understanding of AI observability, monitoring, evaluation frameworks, model governance, security, and responsible AI principles.•
- Exceptional communication and stakeholder management skills with the ability to influence senior technology leaders and architects.Solid understanding of Agile, Waterfall, and Hybrid delivery methodologies.

📌 Principal Agentic AI Architect (Mississauga)
🏢 Zodiac Solutions
📍 Mississauga