Design secure AI architectures across AWS, Azure, and Google Cloud in this fully remote Canadian Senior AI and MLOps Engineer position.
This senior engineering position delivers Agentic AI and Generative AI solutions from proof of concept through production. You will apply Python, LangChain, LangGraph, and cloud engineering expertise. The work includes MLOps, LLMOps, deployment automation, and enterprise integrations.
Key Responsibilities: Deploy Agentic AI and Generative AI across multi-cloud environments
Design scalable, secure, resilient enterprise cloud architectures
Build and optimize CI/CD pipelines and automated deployments
Implement MLOps, LLMOps, monitoring, and observability practices
Lead implementations from proof of concept through production
Requirements: Seven to twelve years of overall IT experience
At least four years in Cloud Engineering, DevOps, or MLOps
Two years deploying or integrating AI applications
Proficiency in Python, LangChain, and LangGraph
Expertise in at least two major cloud platforms
Apply enterprise cloud engineering, AI deployment, and MLOps expertise to production solutions serving complex client environments.