GenAI Solution Architect Agentic AI (Bengaluru)

Job title: GenAI Solution Architect Agentic AI Location: Bengaluru, India Employment Type: Full-time Experience: 12+ Years Notice Period: Immediate to 20 days only About the Role We are looking for a highly experienced GenAI Solution Architect Agentic AI to lead the design and implementation of enterprise-scale AI platforms and autonomous agent-based solutions. You will be responsible for architecting production-grade multi-agent systems, Retrieval-Augmented Generation (RAG) solutions, and enterprise AI platforms on Microsoft Azure. This is a hands-on architecture role requiring deep expertise in Generative AI, Agentic AI frameworks, Azure AI services, and large-scale distributed systems . Key Responsibilities - Design and architect enterprise-grade Agentic AI and multi-agent systems using up-to-date orchestration frameworks. - Build scalable AI solutions using Azure OpenAI, Azure AI Foundry, Azure AI Agent Service, and Azure AI Search . - Design and implement Retrieval-Augmented Generation (RAG) architectures using vector search and enterprise knowledge repositories. - Lead architecture for agent orchestration, tool/function calling, memory management, human-in-the-loop workflows, and autonomous decision-making. - Build secure, scalable, and highly available AI platforms leveraging AKS, Azure Functions, Cosmos DB, Azure SQL, API Management, Event Grid, and Service Bus . - Design AI integrations with enterprise applications using APIs, MCP, and event-driven architectures. - Define AI governance, observability, evaluation frameworks, guardrails, and Responsible AI best practices. - Evaluate and deploy LLMs including Azure OpenAI and open-source models while optimizing performance, latency, token usage, and cost. - Mentor engineering teams and provide technical leadership across enterprise AI initiatives. - Collaborate with business stakeholders to define AI strategy and deliver measurable business outcomes. Required Skills & Experience - Bachelor's degree in .