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About the role
Long Description Role: GenAI Solution Architect / Enterprise Architect Experience: 13+ Years Location: PAN India Primary Skills: Python, Angular, Agentic AI, Microsoft Azure Position Summary We are looking for a highly skilled GenAI Solution Architect with 13–17 years of experience in designing, architecting, and implementing enterprise-scale AI and cloud solutions. The ideal candidate should possess strong expertise in Python, Angular, Agentic AI frameworks, and Azure Cloud, with a proven ability to lead large-scale digital transformation and Generative AI initiatives. The candidate will be responsible for defining solution architecture, guiding development teams, implementing AI-driven business solutions, and ensuring scalable, secure, and production-ready deployments.
Key Responsibilities Architect and design enterprise-grade Generative AI and Agentic AI solutions. Lead the development of multi-agent AI systems using frameworks such as AutoGen, CrewAI, LangGraph, LangChain, LlamaIndex, and Semantic Kernel. Design scalable Retrieval-Augmented Generation (RAG) architectures and AI-powered knowledge management platforms. Develop and govern backend services using Python-based frameworks such as FastAPI, Flask, and Django. Architect modern web applications using Angular and related front-end technologies. Design cloud-native AI solutions leveraging Microsoft Azure services. Define enterprise integration patterns using REST APIs, microservices, event-driven architecture, and message queues Required Technical Skills Generative AI & Agentic AI Hands-on experience in designing and implementing Agentic AI solutions Expertise in AutoGen CrewAI LangGraph LangChain OpenAI / Azure OpenAI Multi-Agent Systems AI Orchestration Platforms AI Copilots RAG Applications Conversational AI Platforms Python Development Strong expertise in Python programming.
Front-End Development Strong experience in: Angular (8+ versions preferred) TypeScript Angular Material RxJS REST Integration Azure Cloud
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