Back
Tier-1 brand, metro location, and product title increase candidate density despite niche AI/procurement specialization.
Requires AI product and engineering skills transferable across industries but favors procurement/supply-chain domain experience.
Hands-on AI, Python/SQL, data/catalog gates and cloud deployment requirements enforce stringent technical shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Drive delivery and operationalization of AI agents across the platform, from use case identification to launching and tracking value.
Own data requirements and build semantic search/retrieval layers to ensure reliable agent function before production.
Work hands-on to prototype and build AI agents using modern AI orchestration frameworks and cloud deployments, co-owning technical design and integration.
Experience in product ownership, business analysis, or process improvement in procurement, supply chain, or operations.
Proven hands-on daily use of AI tools like Claude, Copilot, or ChatGPT for real work problem solving.
Proficiency in Python and SQL sufficient for prototyping AI agent code and assessing data quality.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in multi-agent AI systems with practical knowledge of frameworks like LangChain, LlamaIndex, or AutoGen and concepts like RAG and vector databases.
Familiar with enterprise data platforms (Databricks, Snowflake, Spark) and deploying AI on cloud platforms (Azure, AWS, GCP).
Background in procurement or vendor management processes and comfortable working in large, matrixed organizations.