Job Description

Capgemini 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 programs
Identify and prioritize high-impact use cases such as autonomous planning, self-healing supply chains, and intelligent order management
Align AI strategy with business objectives including cost optimization, service levels, resilience, and agility
Champion adoption of GenAI, AI agents, and decision intelligence frameworks across engagements

Solution 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 systems
Integrate 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 deployment

Innovation & Thought Leadership:-

Provide thought leadership to build Agentic AI assets, frameworks, and knowledge capital
Develop AI-led supply chain transformation offerings and support large deal pursuits with differentiated solutions
Create reusable accelerators, demos, and solution artifacts to strengthen GTM capabilities
Build POVs on autonomous supply chains, multi-agent orchestration, and AI governance in enterprise operations
Track emerging trends (LLMs, digital twins, simulation, reinforcement learning) and translate them into actionable opportunities
Publish whitepapers, engage in client forums, and contribute to positioning as a market leader in Agentic AI
Technical: - 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 understanding
Functional: 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 Skills

14+ years of experience in supply chain consulting, or operations role with proven experience in leading digital / AI transformation
Experience in FMCG/CPG/Retail/Manufacturing industry. Multinational exposure is preferred
Deep understanding of supply chain pain points and transformation levers
Relevant Agentic AI specific certifications
Bachelor's degree in engineering (Tier-1 Engineering Colleges preferred)
MBA Operations/Supply Chain/Logistics /Engineering (preferred)

Supply chain AI lead (SCM)