Supply Chain AI lead (SCM)

Job description

Job DescriptionCapgemini is a global major in value-added Digital Supply Chain services for its clients. This is also a key focus area of organization growth. As an Agentic AI Lead, you will spearhead the next generation of intelligent, autonomous supply chain solutions by leveraging AI agents, GenAI, and decision intelligence. You will define and drive AI-led transformation strategies that move beyond automation to self-orchestrating supply chains delivering agility, resilience, and measurable business outcomes.

This role sits at the intersection of Supply Chain, AI Strategy, and Digital Transformation AI Strategy & Transformation Vision:-Define and drive the Agentic AI vision and roadmap for supply chain transformation programsIdentify and prioritize high-impact use cases such as autonomous planning, self-healing supply chains, and intelligent order managementAlign AI strategy with business objectives including cost optimization, service levels, resilience, and agilityChampion adoption of

GenAI, AI agents, and decision intelligence frameworks across engagementsSolution Architecture & Design:-Design end-to-end agent-based supply chain architectures spanning planning (Demand, Supply, S&OP) and execution (Logistics, Order Management, Manufacturing)Define interaction models between AI agents, human decision-makers, and enterprise systemsIntegrate AI capabilities with ERP and supply chain platforms (SAP S/4HANA, IBP, Kinaxis, o9, etc.)Establish scalable data, model, and governance frameworks to support AI solution development and deploymentInnovation & Thought

Leadership:-Provide thought leadership to build Agentic AI assets, frameworks, and knowledge capitalDevelop AI-led supply chain transformation offerings and support large deal pursuits with differentiated solutionsCreate reusable accelerators, demos, and solution artifacts to strengthen GTM capabilitiesBuild POVs on autonomous supply chains, multi-agent orchestration, and AI governance in enterprise operationsTrack emerging trends (LLMs, digital twins, simulation, reinforcement learning) and translate them into actionable opportunitiesPublish whitepapers, engage in client forums, and contribute to positioning as a market leader in

Agentic AITechnical: - AI expert to lead development of AI/GenAI/Agentic AI use cases for supply chain.

Experience with: GenAI / LLMs (agent frameworks, copilots), AI/ML models in forecasting, optimization, simulation, Agentic frameworks (multi-agent orchestration, decision engines)

Exposure to tools/platforms

SAP AI / Joule, Microsoft AI stack, Databricks, AWS/GCP AI, SCP tools (Kinaxis, o9, Blue Yonder, etc.)

Strong data architecture and analytics understandingFunctional

Strong expertise in E2E Supply chain management (planning, inventory, logistics, order-to-cash, and network optimization Etc). Deep understanding of supply chain pain points and transformation levers processes in these areas are advantage.

Analytical

Ability to analyze supply chain operational data, high-level company financial to identify opportunities, develop insights and prepare business cases.Familiarity with various AI-first or AI-hybrid commercial models is beneficial.Primary Skills14+ years of experience in supply chain consulting, or operations role with proven experience in leading digital / AI transformationExperience in FMCG/CPG/Retail/Manufacturing industry.

Multinational exposure is preferredDeep understanding of supply chain pain points and transformation leversRelevant Agentic AI specific certificationsBachelor’s degree in engineering (Tier-1 Engineering Colleges preferred)MBA Operations/Supply Chain/Logistics /Engineering (preferred)