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 (Winnipeg)
🏢 Keyrus
📍 Winnipeg