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
Strong 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 transparent communication to Keyrus AI foundations serving enterprise business needs.

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