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Agentic AI Architect - Procurement, Demand planning and SCM @ Capgemini

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 Agentic AI Architect - Procurement, Demand planning and SCM

Job Description

Capgemini is hiring for Agentic AI Architect Procurement, Demand planning and SCM


Experience Range: 14+ years

Location: Pan India (except Kolkata and Mumbai)


Your Role:

As an Agentic AI Architect Procurement, Demand planning and SCM, you will lead the design and implementation of enterprise-grade AI-driven architectures that enable intelligent, autonomous workflows across the Microsoft ecosystem. This role focuses on creating scalable, secure, and compliant AI solutions that leverage Microsoft Azure AI foundry, and data bricks driving digital transformation through Agentic AI capabilities.

You will define end-to-end architecture standards, integrate AI agents into business processes, and ensure solutions are optimized for performance, cost-efficiency, and governance across hybrid and multi-cloud environments. Your expertise will help organizations adopt Responsible AI principles while delivering measurable business outcomes.

Your Tasks:

  • Should have exposure to Agentic AI frameworks like LangGraph, CrewAI, AutoGen or Semantic Kernal, Databrciks Mosaic AI etc.
  • Architect Agentic AI solutions using Databricks, Azure MS AI foundry, Azure AI.
  • Design AI workflows and orchestration frameworks for enterprise applications.
  • Ensure security, compliance, and responsible AI governance in all solutions.
  • Collaborate with stakeholders to align technical architecture with business objectives.
  • Define best practices for scalability, performance optimization, and cost control.
  • Advise on AI lifecycle management, including monitoring and continuous improvement.

Mandatory Skills:

  • Deep expertise in Azure AI foundry, Databricks ,snowflake, Data pipeline,autonomous AI agent technologiessuch as LangGraph, CrewAI, or AutoGen.
  • Strong knowledge of cloud-native architecture and multi-cloud integration.
  • Experience with Responsible AI frameworks, bias detection, and compliance.
  • Ability to design agentic workflows and integrate AI into enterprise systems.
  • Excellent stakeholder management and solution advisory skills.
  • Knowledge of Databricks, snowflake, Microsoft Fabric, Synapse, and data analytics workflows.
  • Hands on experience in Gen ai workflows, Agentic Workflows,Tool Calling and Multi-Agent Orchestration:
  • Domain Expertise in Procurement, Demand planning and SCM

Your Profile (nice to have):

  • Familiarity with AI orchestration, AI Governance, MCP, GuardRail, security etc..
  • Proficiency in Python libraries for custom connectors and automation and PDF extraction.
  • Exposure to RAG (Retrieval-Augmented Generation) and prompt engineering.
  • Background in MLOps and AI lifecycle management.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Noida, Gurugram

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Keyskills:   Azure AI Architect Enterprise AI Integration Architect Agentic AI Architect Procurement Supply chain Microsoft AI foundry Solutions Architect Databricks Architect Responsible AI Architect Langchain Langgraph Crew AI

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Capgemini

Capgemini Engg (erstwhile Altran) ranks as the undisputed global leader in Engineering and R&D services (ER&D). The company offers clients an unmatched value proposition to address their transformation and innovation needs. Works alongside its clients, from initial concept through indust...