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 current 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).
Robust 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 and Watson
📍 Bengaluru