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About the role
Summary We are seeking an AI / ML Solutions Lead with proven hands-on experience in Agentic AI, Large Language Models (LLMs), and enterprise-grade Machine Learning delivery . In this leadership role, you will own the complete AI solutions lifecycle from opportunity identification and solution architecture to production deployment and continuous improvement. You will lead and mentor AI/ML engineers, collaborate directly with clients to define AI transformation roadmaps, and drive pre-sales, solution design, and successful delivery across enterprise engagements. Experience in Finance (AP/AR, P2P, Cash Flow) or Supply Chain Management (Procurement, Inventory, Logistics) domains will be considered a robust advantage. Key Responsibilities - Own the complete AI/ML solutions lifecycle from discovery, architecture, development, deployment, and hypercare. - Design and deliver Agentic AI solutions using LangGraph, AutoGen, CrewAI , or similar frameworks. - Build enterprise-grade RAG pipelines, multi-agent systems, and LLM fine-tuning solutions. - Participate in pre-sales activities including solution design, PoCs, RFP/RFQ responses, and client presentations. - Define AI transformation strategies and advise clients on implementation, feasibility, and ROI. - Lead, mentor, and manage a team of AI/ML engineers while ensuring technical excellence and delivery quality. - Collaborate with business analysts, delivery managers, and product teams to build scalable AI architectures. - Drive MLOps practices including model monitoring, versioning, retraining, and Responsible AI. - Implement AI solutions for Finance and Supply Chain Management use cases where applicable. - Develop reusable AI accelerators, frameworks, and contribute to the organizations AI Center of Excellence. - Stay updated with the latest advancements in Agentic AI, Generative AI, and Machine Learning technologies. Required Skills Core AI / Machine Learning - Advanced Python - Machine Learning - Deep Learning (TensorF .