Back
Strong employer brand but specialized AI-product skills reduce candidate pool, creating moderate competition.
Requires procurement/supply-chain domain knowledge plus agentic AI expertise, limiting cross-industry transferability.
Mandatory product ownership, daily AI tool use, Python and SQL proficiency raise screening strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Identify and prioritize AI use cases across enterprise workflows, maintaining an aligned AI use case pipeline.
Define data requirements and build semantic search and retrieval systems to support AI agents' reliability and functionality.
Co-own technical design and hands-on development of AI agents using AI orchestration frameworks; launch solutions and track business and technical KPIs post-deployment.
Experience in product ownership, business analysis, or process improvement in procurement, supply chain, or operations.
Hands-on daily experience using AI tools like Claude, Copilot, or ChatGPT to solve real work problems.
Proficiency in Python and SQL sufficient for prototyping and iterating on AI agent code.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in multi-agent AI systems and prompt engineering with at least one working prototype built.
Familiar with AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, AutoGen), RAG, embeddings, and vector databases.
Knowledgeable in procurement processes and platforms (Source-to-Contract, Procure-to-Pay, vendor management) within large matrixed organisations.