Senior Azure PaaS & AI Solutions Engineer - Operations
Tasks
- Architect and implement enterprise AI solutions
- Architect and implement enterprise integrations and APIs
- Deliver solutions across software development lifecycle
- Design and develop AI connectivity patterns
- Design build and support Azure PaaS solutions
- Evaluate emerging AI and cloud capabilities and recommend best practices
- Implement event driven workflow orchestration
- Implement secure AI enabled architectures
- Integrate Azure OpenAI and generative AI into workflows
- Lead cloud modernization migrations to Azure
- Serve as Azure technical lead and subject matter expert
- Troubleshoot production issues and optimize performance
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | API Design | API Management | Access Management | Agent systems | App Service | Application Insights | Authentication | Azure AI | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure App | Azure App Service | Azure Application Insights | Azure Event | Azure Event Grid | Azure Event Hubs | Azure Functions | Azure Key Vault | Azure Logic | Azure Logic Apps | Azure Machine Learning | Azure Monitor | Azure OpenAI | Azure OpenAI Service | Azure Resource | Azure Resource Manager | Azure Service | Azure Service Bus | Azure Storage | Bicep | C# | CI/CD | Cloud modernization | Context Management | Data integration | Domo | ETL | Event Driven | Event Grid | Event Hubs | Event-driven architecture | GPT | Grounding and Context Management | Identity and Access Management | Identity and access | Infrastructure as Code | JavaScript | Key Vault | Logic Apps | Machine Learning | Microsoft Azure | Microsoft Copilot | Model Evaluation | Multi-Agent | Multi-Agent Systems | Networking | OpenAI Service | Performance Tuning | Power Platform | Powershell | Prompt engineering | Python | Resource manager | Retrieval-Augmented Generation | Semantic Search | Service Bus | Source Control | Terraform | Vector embeddings | “as-code”
Education
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