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Role Summary The AI Technical Lead will serve as the technical backbone of the AI CoE, responsible for designing scalable AI architectures, leading AI engineering teams, and delivering enterprise-grade AI solutions spanning GenAI, LLMs, RAG, Machine Learning, API integration, cloud platforms, and enterprise architecture. Key Responsibilities - Design and own enterprise AI solution architecture and engineering standards - Lead GenAI/LLM solutions: copilots, AI assistants, document intelligence, multi-agent systems, and more - Mentor and lead a team of GenAI/ML engineers and AI developers - Guide ML model development (predictive, fraud, credit scoring, NLP, forecasting) - Drive enterprise AI platform development, integrations, and cloud/DevOps practices - Ensure secure, compliant, and responsible AI practices Experience - 1014 years overall software engineering experience - 5+ years designing AI/ML solutions; 3+ years leading AI teams - Hands-on with production-grade GenAI apps - BFSI/FinTech experience preferred Key Skills - Python (expert), SQL, REST APIs - GenAI, LLMs, RAG, Agentic AI, NLP, Prompt Engineering - LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen - Azure OpenAI, OpenAI API, AWS Bedrock, Vertex AI - Vector DBs (Pinecone, Weaviate, ChromaDB, Milvus) - Azure/AWS, Docker, Kubernetes, CI/CD .