Source description
About the role
AI & ML Strategy for Strategic Sourcing : - Partner closely with Purchasing, Commodity Teams, Supplier Quality, Cost Engineering, and Strategic Sourcing stakeholders to identify AI/ML use cases and business transformation opportunities. - Understand and map procurement processes including : 1. RFQ management 2. Supplier evaluation 3. Spend analytics 4. Cost optimization 5. Contract analytics 6. Demand forecasting 7. Supplier risk monitoring 8. Procurement operations automation - Define AI roadmap aligned with organizational digital transformation goals. - Build scalable AI frameworks and reusable AI components for sourcing functions. AI/ML Solution Development : - Design, develop, and deploy AI/ML applications for procurement and sourcing functions. - Develop predictive, prescriptive, and generative AI solutions using structured and unstructured enterprise data. - Build intelligent copilots and AI assistants for procurement users using LLM technologies. - Implement : 1. NLP models 2. Recommendation systems 3. Forecasting models 4. Supplier intelligence engines 5. Semantic search systems 6. Document intelligence solutions 7. Generative AI workflows - Create AI-enabled dashboards and analytical insights platforms. Large Language Model (LLM) & GenAI Responsibilities : - Architect and implement enterprise-grade LLM applications. - Fine-tune and optimize LMs for procurement-specific use cases. - Build Retrieval-Augmented Generation (RAG) frameworks using enterprise data sources. - Integrate AI copilots with sourcing workflows and enterprise systems. - Develop prompt engineering frameworks and AI governance standards. - Evaluate open-source and commercial GenAI ecosystems for enterprise adoption. - Ensure responsible AI, security, compliance, and data governance. .