Spclst, Supply Chain Mgmt

Role :   Spclst, Supply Chain Mgmt   Location :  Hyderabad Full/ Part-time :   Full time   About Carrier     Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,   safety   and sustainability to life. Through   cutting-edge   advancements in climate solutions such as temperature control, air   quality   and transportation, we improve lives, empower critical   industries   and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the   centre   of   everything we do. For more information, visit   corporate.carrier.com   or follow Carrier on social media at @Carrier.     About the role : We are hiring builders, not just analysts. This role will design, build, and deploy AI agents and automated workflows that directly run procurement processes — not just report on them — partnering closely with category managers, commodity managers, and plant procurement teams to translate domain expertise into working AI-driven tools.

AI agent development — Design, build, and deploy AI agents across the procurement value chain, including: Category spend analytics agents: data cleansing, classification, trend and savings analysis, automated reporting Commodity intelligence & blocking/hedging recommendation agents: live market price feeds (e.g., LME/COMEX), forecast synthesis, policy threshold and compliance checks, executive-ready recommendations Category and competitive market intelligence agents: tracking competitor activity, supplier risk, and category trends across multiple categories RFQ/RFP automation agents: bid floating, response collection, should-cost and bid comparison, negotiation prep Process mapping & workflow redesign — Map current-state procurement processes (source-to-pay, category management, RFQ/RFP, supplier onboarding), identify automation opportunities, and redesign workflows for AI-augmented execution — including decision logic, triggers, and exception handling. Domain-to-agent translation — Translate category and commodity manager domain rules (e.g., hedging policy thresholds, exclusion criteria, category taxonomies) into agent logic, working hands-on with LLM platforms and automation tooling. Data & systems integration — Integrate agents with ERP, spend, and market data sources; build and maintain the underlying data pipelines that power agent decisioning. Stakeholder management — Partner with category teams, plants, finance, and IT to pilot, deploy, and scale agents into production; train end users and drive adoption. Governance & reporting — Track and report agent performance, savings impact, and adoption metrics; present use cases and outcomes to senior leadership.

Bachelor's or Master's degree in Engineering, Supply Chain, Data Science, or a related field; MBA is a plus. 5- 6 years of experience spanning procurement/supply chain, with hands-on exposure to AI, automation, or analytics — or a data science/automation background with strong appetite to learn procurement domain (exact experience band flexed by seniority hired). Hands-on experience building with LLM/GenAI platforms (e.g., Claude, Copilot Studio, ChatGPT) and automation tools (e.g., Power Automate, Power BI). Working proficiency in Python and SQL for data manipulation and agent/workflow logic. Solid understanding of procurement processes — source-to-pay, category management, RFQ/RFP — and, ideally, commodity/hedging management. Comfort working directly with prompt engineering and agentic AI frameworks, not just consuming AI tools. Preferred Experience in HVAC, industrial, or manufacturing sectors. Exposure to ERP/source-to-pay platforms (e.g., SAP