Lead scalable AI platform engineering in Toronto with Python, Kubernetes, and MLOps expertise. Build production capabilities for enterprise machine learning workloads. As a Senior AI Platform Software Engineer, you will design, develop, and operate reusable platforms for artificial intelligence and machine learning. You will provide technical leadership across software engineering, cloud infrastructure, MLOps, generative AI, and platform engineering. The work supports deployment, monitoring, governance, and responsible enterprise adoption. Key Responsibilities:

Lead reusable platform services for training, deployment, inference, and monitoring Design APIs, orchestration layers, SDKs, and developer portals Implement MLOps and LLMOps versioning, evaluation, observability, and rollback Operate Kubernetes, Docker,



cloud services, and infrastructure as code Mentor engineers and lead incident response and technical reviews Requirements:

Bachelor’s degree or equivalent practical experience Five or more years of qualified software engineering experience Advanced programming skills in Python, Java, Scala, Go, or similar Hands-on Azure, AWS, or Google Cloud experience Experience with MLOps, LLMOps, distributed systems, and production operations Bring senior technical leadership, cloud engineering, and AI platform expertise to Scotiabank’s enterprise technology work in Toronto.

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📌 Senior AI Platform Software Engineer (Winnipeg)
🏢 Scotiabank
📍 Winnipeg