MLOps/LLMOps Architect

ELEKS is looking for a MLOps/LLMOps Architect in Canada. Alberta-based candidates are strongly preferred (Calgary or Edmonton). Canada-based candidates will also be considered.

ABOUT CLIENT Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making. The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.

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

Upper-Intermediate or higher level of English

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