Senior Cloud Engineer AI

Application Deadline: 08/30/2026 Address: VIRTUAL(U)08 - HomeRes - DE Job Family Group: Technology Senior Cloud Engineer – ML/AI Platform We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization. What You Will Do Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption Implement observability solutions with model monitoring, metrics, and drift detection Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps Provide technical leadership and mentorship on AI/ML cloud best practices What You Need to Succeed Must Have 5-7 years of cloud engineering experience with 3+ years focused on AI/ML platforms Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry Experience building MLOps platforms and automated ML pipelines Strong knowledge of L