Building on Azure, AWS and M365 (Azure GenAI Services, SharePoint Online, MS Teams, Power Automate/Power Apps), with practical knowledge execution across Azure OpenAI / Azure AI Foundry / AI Search / Azure ML and AWS Bedrock / SageMaker, plus core services (Entra/Managed Identity, Key Vault/Private Link, Functions/AKS, APIM; IAM/KMS/VPC, S3, OpenSearch, Lambda/EKS/Step Functions). To be successful as a GenAI Engineering Development Lead VP, you should have experience with: Building architecture and practical knowledge of building solutions on Azure, AWS and M365 (Azure GenAI Services, SharePoint Online, MS Teams integrations, Power Automate, Power Apps.