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 monitoringDesign APIs, orchestration layers, SDKs, and developer portalsImplement MLOps and LLMOps versioning, evaluation, observability, and rollbackOperate Kubernetes, Docker,



cloud services, and infrastructure as codeMentor engineers and lead incident response and technical reviewsRequirements:

Bachelor’s degree or equivalent practical experienceFive or more years of qualified software engineering experienceAdvanced programming skills in Python, Java, Scala, Go, or similarHands-on Azure, AWS, or Google Cloud experienceExperience with MLOps, LLMOps, distributed systems, and production operationsBring senior technical leadership, cloud engineering, and AI platform expertise to Scotiabank’s enterprise technology work in Toronto.

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