Azure AI Architect
- Source: Naukri
- Tata Consultancy Services
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Role & responsibilities
Azure AI Architect
Experience
8-10 Years (JD mentions architect-level responsibilities; practically suitable for 8+ years with strong Azure AI architecture experience)
Location
Hyderabad / Bangalore / Kolkata
Primary Skills
- Azure AI Services
- Azure OpenAI
- Generative AI
- Agentic AI
- LLM Applications
- Azure AI Foundry
- Copilot Studio
- Semantic Kernel
- LangChain / LangGraph
- Multi-Agent Architecture
- RAG (Retrieval-Augmented Generation)
- Prompt Engineering
- API Integration
- Azure Cloud Architecture
- AKS (Azure Kubernetes Service)
- APIM (Azure API Management)
- Service Bus
- Azure Key Vault
- Entra ID
- DevSecOps
- Terraform / Bicep
Must-Have Skills
- Enterprise Solution Architecture
- Azure Cloud Architecture
- Generative AI & Agentic AI
- Multi-Agent Orchestration
- Azure OpenAI
- RAG Frameworks
- LangChain Ecosystem / Semantic Kernel
- Copilot Studio / Azure AI Foundry
- REST APIs & Event-Driven Architecture
- OAuth2, OIDC, RBAC, JWT Security
- AKS, APIM, Service Bus
- Stakeholder & Architecture Leadership
Good-to-Have Skills
- ServiceNow
- SAP Integrations
- Splunk / Dynatrace / Datadog
- Kubernetes
- CI/CD & DevSecOps
- GenAI Evaluation Frameworks
Skills
- microsoft-azure
- openai
- LangChain
- LangGraph
- Kubernetes
- azure-kubernetes-service
- azure-api-management
- azure-key-vault
- vault
- microsoft-entra-id
- Terraform
- OAuth2
- Servicenow
- sap
- splunk
- dynatrace
- datadog
