Architect production-ready GenAI foundations at Keyrus, connecting cloud infrastructure, enterprise data, applications, models, agents, and security. This hybrid role is based in Montreal or Toronto.

As an AI Foundation Architect, you will design architectures that enable organizations to develop, deploy, and scale AI and agentic solutions. You will define architecture principles, make technical decisions, and guide engineering teams. Your work spans cloud ecosystems, distributed systems, APIs, enterprise integrations, GenAI workflows, and operational requirements.

Key Responsibilities:

- Lead client architecture discovery around objectives, systems, constraints, and AI requirements
- Define production AI and GenAI target architectures
- Design secure, reliable foundations for enterprise AI systems
- Evaluate model, performance, latency, infrastructure,



and consumption trade-offs
- Guide multidisciplinary engineering teams and advise client stakeholders

Requirements:

- Eight-plus years designing complex production enterprise, solution, cloud, or data architectures
- Recent production GenAI, LLM, or agentic systems experience
- Robust expertise in at least one major cloud ecosystem
- Understanding of LLMs, RAG, AI agents, and enterprise workflows
- Experience with distributed systems, APIs, microservices, and enterprise integrations

Bring architecture judgment, GenAI expertise, and clear communication to Keyrus AI foundations serving enterprise business needs.

📌 AI Foundation Architect GenAI (Toronto)
🏢 Keyrus
📍 Toronto