AI Tech Lead/ Team Lead (Hyderabad) (Secunderabad)

AI / Generative AI Tech Lead (Agentic Systems & Azure AI) Hyderabad / Vizag - WFO Hybrid UK Shift: 2:30 PM - 11:30 PM IST Notice Period : Immediate to 15 days 6-12 Years total experience 3-4 Years with AI Technologies Job Summary We are seeking a highly skilled AI / Generative AI Engineer with robust experience in Python-based LLM frameworks, agentic architectures, and Azure AI services. The ideal candidate will design, build, and deploy intelligent, autonomous AI systems using LangChain, LangGraph, vector databases, and Azure ML/AI Foundry, while integrating enterprise data platforms and automation tools. Key Responsibilities Design and develop agentic AI applications using Python, LangChain, and LangGraph Build and orchestrate multi-agent workflows, tool calling, memory, and planning systems Integrate LLMs with enterprise data sources using Vector Databases and Azure Cosmos DB Develop and deploy models using Azure Machine Learning and Azure AI Foundry Implement RAG (Retrieval Augmented Generation) pipelines using vector stores and data lakes Work with Azure Data Lakes and structured/unstructured data for AI workloads Integrate AI workflows with automation tools (Zapier, APIs, webhooks, SaaS platforms) Optimize performance, scalability, and cost for production AI systems Ensure responsible AI practices including security, privacy, and governance Collaborate with product, data, and engineering teams to translate business needs into AI solutions Required Skills & Qualifications Strong programming experience in Python Hands-on experience with LangChain and LangGraph Proven experience building agentic AI systems and tool-based reasoning workflows Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search) Working knowledge of Azure Cosmos DB Experience with Azure Machine Learning and Azure AI Foundry Solid understanding of RAG architectures Experience working with Data Lakes and large-scale data pipelines Familiarity with Zapier or similar automation/orchestration tools Solid understanding of REST APIs, authentication, and cloud-native design Preferred / Nice to Have Experience with OpenAI / Azure OpenAI models Knowledge of LLMOps / MLOps practices Exposure to Docker, CI/CD pipelines Experience with monitoring and evaluating LLM performance Background in enterprise or regulated environments . experiance: 72 skill: Python, Automation, LangChain, LangGraph, Azure Machine Learning, Azure AI Foundry, Vector Databases, Azure Cosmos DB, Data Lakes, REST APIs industry: IT Services & Consulting .