Ai Foundation Architect Genai

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 requirementsDefine production AI and GenAI target architecturesDesign secure, reliable foundations for enterprise AI systemsEvaluate model, performance, latency, infrastructure, and consumption trade-offsGuide multidisciplinary engineering teams and advise client stakeholdersRequirements:
Eight-plus years designing complex production enterprise, solution, cloud, or data architecturesRecent production GenAI, LLM, or agentic systems experienceStrong expertise in at least one major cloud ecosystemUnderstanding of LLMs, RAG, AI agents, and enterprise workflowsExperience with distributed systems, APIs, microservices, and enterprise integrationsBring architecture judgment, GenAI expertise, and clear communication to Keyrus AI foundations serving enterprise business needs.
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