MLOps/LLMOps Architect (AI)

TL;DR

MLOps/LLMOps Architect (AI): Designing and operationalizing a next-generation AI platform for secure development and governance of artificial intelligence with an accent on enterprise-grade security and data sovereignty. Focus on building deployment strategies for LLMs, implementing RAG architectures, and establishing robust model lifecycle management processes.

Location: Must be based in Canada (Alberta candidates in Calgary or Edmonton strongly preferred)

Company

A custom software development company providing expert software engineering services as an innovation partner since 1991.

What you will do

• Design enterprise MLOps and LLMOps architecture.
• Build deployment strategies for AI and LLM solutions.
• Define model lifecycle management processes and AI governance.
• Implement monitoring, observability, and evaluation frameworks.
• Design CI/CD pipelines for machine learning workloads.
• Collaborate with AI researchers, platform engineers, and DevOps teams.

Requirements

• 7+ years of experience in Machine Learning Engineering or MLOps.
• 3+ years designing production-grade MLOps platforms.
• Experience with LLM deployment, RAG architectures, and vector databases.
• Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, or SageMaker.
• Experience with Kubernetes, Docker, CI/CD pipelines, and GPU infrastructure.
• English: Upper-Intermediate (B2) or higher

Culture & Benefits

• Close cooperation with a customer.
• Challenging tasks and professional competence development.
• Ability to influence project technologies.
• Dynamic environment with a low level of bureaucracy.
• Team of seasoned professionals.