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

Positive-to-Have Skills

- ServiceNow
- SAP Integrations
- Splunk / Dynatrace / Datadog
- Kubernetes
- CI/CD & DevSecOps
- GenAI Evaluation Frameworks

📌 Azure AI Architect (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru