Cloud AIOps Architect

As a Cloud AIOps Architect, you will lead the design and implementation of advanced AI-driven operational systems across multi-cloud and hybrid cloud environments. You will architect AIOps solutions leveraging AWS, Azure, and cloud-agnostic services, ensuring portability and scalability. Your responsibilities include developing end-to-end automated ML pipelines from data ingestion and DataOps through model training to inference pipelines across multi-cloud environments. You will design hybrid architectures using cloud-native services like Amazon SageMaker, Azure Machine Learning, and Kubernetes for model deployment and orchestration. Implementing ChatOps integration with platforms such as Slack and Microsoft Teams is a key aspect of the role. You will lead the design of classification and other ML models, implement automated rule management systems using Python, and oversee continuous deployment and retraining of models based on updated data and feedback loops. Designing platform-agnostic solutions to ensure portability across different cloud environments or hybrid clouds is essential.