At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative & Agentic AI Manager Role Summary As a senior Generative & Agentic AI Engineer with 8+ years of experience, you will lead the design, development, and deployment of advanced GenAI capabilities and agentic AI workflows. Your role will involve architecting scalable solutions grounded in NLP and Transformer models—including RAG systems and multi-agent orchestration—while ensuring safety, observability, and cost efficiency across enterprise environments. You will mentor teams, define best practices, and drive innovation in AI engineering on cloud platforms (AWS/Azure). Key Responsibilities Lead the architecture and implementation of GenAI services with robust prompt/tool use, function calling, and workflow orchestration; enforce caching, retries, and token/cost controls. Design and optimize RAG pipelines (indexing, chunking, embeddings, rerankers) and evaluate retrieval/answer quality; advance to complex agentic patterns (multi-tool, multi-step, multi-agent). Apply advanced NLP/Transformer techniques (fine-tuning, adapters/LoRA, distillation) aligned with business and data constraints. Engineer production-grade Python services/APIs; integrate vector stores (FAISS, Pinecone), LangChain/LlamaIndex, streaming, and guardrails. Ensure operational excellence on AWS/Azure with observability, security, and governance frameworks. Mentor junior engineers, establish coding standards, and lead technical reviews to maintain high-quality deliverables. Must Have Skills Deep expertise in GenAI foundations (LLMs, embeddings, prompting). Proficiency with Transformer architectures (Hugging Face ecosystem, fine-tuning strategies). Advanced NLP applied skills (text processing, evaluation metrics). Hands-on experience with RAG and agentic AI design and implementation. Strong Python development skills and cloud experience (AWS/Azure). API development for model-backed experiences and enterprise integration. Qualifications & Experience B.Tech/M.Tech/MS in Computer Science, Electrical Engineering, or equivalent. 8+ years in AI/ML engineering with at least 5 years in GenAI/NLP/Transformer-based solutions. Proven track record of leading AI projects and mentoring engineering teams. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.