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Tier-1 brand and metro location raise competition, while niche GenAI specialization limits candidate pool.
Specialized GenAI, RAI and banking governance needs reduce cross-industry transferability significantly.
Explicit 8–12 years, required LLM/RAG expertise, tooling, and governance make screening highly strict.
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Lead design and delivery of Generative AI solutions focused on LLMs, RAG engineering, and context engineering to build production-ready applications.
Own architecture and solutioning for AI/ML use cases ensuring quality metrics like groundedness, relevance, latency, cost, and Responsible AI compliance.
Manage and mentor AI/ML delivery squad, oversee project execution, risk management, governance, and stakeholder collaboration without direct people management responsibility beyond team assignments.
Master’s degree with specialization in Technology and AI/ML certification mandatory.
8-12 years of hands-on experience in developing and delivering AI solutions, especially with LLMs and Generative AI.
Strong proficiency in Python and frameworks such as LangChain, LlamaIndex, Semantic Kernel, Hugging Face or equivalents.
Location requirement: Chennai, India with Hybrid Working model. Work Experience Required: 8-12 years. Notice period: Not explicitly mentioned.
Extensive expertise in LLMs, Retrieval-Augmented Generation (RAG), context engineering, and Generative AI application design meeting enterprise standards.
Proven ability to lead AI/ML delivery teams with strong architecture ownership, technical mentorship, stakeholder influence, and risk/governance management.
Experience operating in regulated financial services environment ensuring compliance with Responsible AI, data governance, and security frameworks.