Cloud Platforms and Agentic AI Architect
USA, GA, Atlanta (575 Morosgo Drive NE), United States
R
USD 142K-266K Senior-level Full Time
Tasks
- Build Lakehouse architectures
- Deploy AI models and track traceability
- Design API driven event based applications
- Drive architecture for scalable multi cloud AI systems
- Establish API governance
- Implement end to end machine learning lifecycle
- Implement full stack observability
- Implement retrieval-augmented generation pipelines
- Integrate structured and unstructured data
- Mentor teams and drive technical excellence
- Provision cloud infrastructure
- Route LLM requests across multiple clouds
Perks/Benefits
Skills/Tech-stack
AI Search | AI gateway | AKS | API Management | AWS | Amazon Bedrock | App Service | Application Insights | Azure | Azure AI | Azure AI Search | Azure APIM | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure Databricks | Azure Event | Azure Event Grid | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure Logic | Azure Logic Apps | Azure Monitor | Azure OpenAI | Azure Service | Azure Service Bus | Azure Storage | Container Apps | Cost visibility | Data Ingestion | Delta Sharing | Drift tracking | Event Driven | Event Grid | Event-driven architecture | Feature Engineering | Kubernetes Service | Language Models | Large Language Models | Logic Apps | Microservices | Model Deployment | Model Training | Ontology | OpenTelemetry | PGVector | PostgreSQL | Retrieval-Augmented Generation | Service Bus | Telemetry | Tracing | Vector Databases | Vector Search
Education
Roles
AI | AI Architect | Architect | Cloud Architect | Cloud)
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