Specialist, Supply Chain Management

Carrier

AI Specialist designing, building, and deploying AI agents for procurement processes in a large global organization. Partnering with category managers to drive automation and efficiency in supply chain.

Posted 7/16/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents within procurement processes, leveraging strong skills in data manipulation, automation, and procurement domain knowledge. Proficient in integrating AI solutions with ERP systems and driving user adoption through effective training and performance tracking.

Highest-signal resume keywords

AI Agent DevelopmentLLM/GenAI PlatformsPython ProgrammingSQL ProficiencyProcurement Process Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleansingClassificationTrend AnalysisAutomated ReportingBid ComparisonNegotiation PreparationWorkflow RedesignData Pipeline DevelopmentPrompt EngineeringCommodity Management

Soft Skills

CollaborationCommunicationTrainingProblem-SolvingAdaptability

Tools & Technologies

Power AutomatePower BIERP SystemsMarket Data SourcesAutomation Tools

Certifications & Qualifications

Bachelor's DegreeMaster's DegreeMBA

Industry Keywords

ProcurementSupply ChainCategory ManagementRFQRFPSpend AnalyticsHedging RecommendationsSupplier RiskExecutive ReportingSavings Impact

Tech Stack

Tools & technologies

ERPPythonSQL

About the role

Key responsibilities & impact

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.
Map current-state procurement processes, identify automation opportunities, and redesign workflows for AI-augmented execution.
Translate category and commodity manager domain rules into agent logic, working hands-on with LLM platforms and automation tooling.
Integrate agents with ERP, spend, and market data sources; build and maintain the underlying data pipelines that power agent decisioning.
Partner with category teams, finance, and IT to pilot, deploy, and scale agents into production; train end users and drive adoption.
Track and report agent performance, savings impact, and adoption metrics; present use cases and outcomes to senior leadership.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

A mandate to build category-defining AI capability inside a large, global procurement organisation — from zero to production, not a sandbox pilot.
Direct exposure to senior procurement and supply chain leadership and cross-functional category teams.
A fast-moving CoE environment with real budget, real spend, and real agents already in deployment.