MLOps/LLMOps Architect designing AI solutions for a next-gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
Responsibilities
Design enterprise MLOps and LLMOps architecture
Build deployment strategies for AI and LLM solutions
Define model lifecycle management processes
Implement monitoring, observability, and evaluation frameworks
Design CI/CD pipelines for machine learning workloads
Collaborate with AI researchers, platform engineers, and DevOps teams
Support AI governance and security requirements
Advise client stakeholders on operational AI best practices
Requirements
7+ years of experience in Machine Learning Engineering or MLOps
3+ years designing production-grade MLOps platforms
Experience with LLM deployment and operationalization
Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, SageMaker or similar platforms
Experience deploying GenAI applications in enterprise environments
Knowledge of RAG architectures, vector databases, model evaluation, and prompt management
Experience with Kubernetes, Docker, CI/CD pipelines
Familiarity with GPU infrastructure
Strong understanding of AI governance and model lifecycle management
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