Artificial Intelligence Architect

Wenger & Watson; Bengaluru; On-site; INR 8,000,000 - 12,000,000; Full time

Job summary

Wenger & Watson in Bengaluru is seeking an experienced AI Engineer to architect and implement cloud-native AI platforms on Azure. The role focuses on building multi-agent orchestration services, deploying LLM integrations, and implementing RAG pipelines with Azure AI Search and vector stores.

The ideal candidate has 8+ years in AI/ML, deep Azure expertise, strong knowledge of LLMs, embeddings, and agent architectures, and is proficient in Python with IaC (Bicep, Terraform).

Qualifications

• 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).
• Strong DevOps and security mindset.
• Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
• Knowledge of compliance and data governance for AI systems.

Responsibilities

• Architect and implement cloud-native AI platforms using Azure.
• Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
• 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.
• Knowledge in MCP, A2A and other new protocols.

Skills

AI engineering

Python

Agent architectures

Data governance

DevOps mindset

Tools

Azure

Azure Functions

Azure App Services

Document Intelligence

OpenAI

Azure OpenAI

Bicep

Terraform

LangGraph

Semantic Kernel

AutoGen

Job description

Key Responsibilities

• Architect and implementcloud-native AI platformsusing Azure.
• Build and manageagent orchestration services(multi-agent workflows, tool invocation, state management).
• Knowledge in MCP, A2A and other new protocols
• Deploy and manageLLM integrations(Azure OpenAI, embeddings, fine-tuned models).
• ImplementRAG pipelinesusing Azure AI Search, vector databases, and storage.
• Designsecure 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 inAzure (Functions, App Services, Document Intelligence, AI Search, OpenAI).
• Strong understanding ofLLMs, embeddings, RAG, agentic architectures.
• Proficiency in Python.
• Experience with infrastructure-as-code (Bicep, Terraform).
• Strong DevOps and security mindset.
• Experience with LangGraph, Semantic Kernel, AutoGen, or similar agent frameworks.
• Knowledge of compliance and data governance for AI systems.