Key Responsibilities

- Architect and implement cloud-native AI platforms using Azure.

- Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).

- Knowledge in MCP, A2A and other new protocols

- Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models).

- Implement RAG pipelines using Azure AI Search, vector databases, and storage.

- Design secure APIs, authentication, authorization, and secrets management.

- Support observability: logging, tracing, metrics, and AI performance dashboards.

Required Skills & Experience

- 8+ years in AI, ML - AI Engineer.

- Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, OpenAI).

- Strong understanding of LLMs, embeddings, RAG, agentic architectures.

- Proficiency in Python.

- Experience with infrastructure-as-code (Bicep, Terraform).

- Robust DevOps and security mindset.

- Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.

- Knowledge of compliance and data governance for AI systems.

📌 Artificial Intelligence Architect (Bengaluru)
🏢 Wenger u0026 Watson
📍 Bengaluru