Job Description

AI Solution Architect
Experience: 10–18 Years
Choosing Capgemini means joining a global leader in business and technology transformation, where innovation, collaboration, and cutting-edge technologies come together to create meaningful impact. Join us to help leading manufacturing and industrial organizations accelerate their Industry 4.0 and AI transformation journeys.
Role Overview
We are seeking an experienced Industrial AI Solution Architect to lead the design and delivery of AI-driven solutions for manufacturing and industrial clients. This role combines industry expertise, AI innovation, solution architecture, consulting, and business transformation to drive measurable operational outcomes.
Key Responsibilities
• Ability to lead AI solution architecture, client engagements, and AI transformation initiatives.
• Robust expertise in Generative AI, LLMs (GPT, Claude, Gemini, Llama), and Prompt Engineering
• Hands-on experience building Agentic AI and Multi-Agent Systems using CrewAI, AutoGen, LangGraph, or Semantic Kernel.
• Proficiency in Python,



FastAPI, REST APIs, and Microservices architecture. •
• Strong knowledge of RAG, Vector Databases, Embeddings, and Enterprise Knowledge Systems.
• Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, and cloud-based AI platforms
• Understanding of AI governance, observability, security, and responsible AI practices.

Required Qualifications
Education
• Bachelor's or Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, or a related field.
Experience
• 7+ years of experience in Manufacturing, Industrial Operations, Digital Manufacturing, Industry 4.0, or Industrial Digital Transformation.
• 3+ years of experience designing and deploying AI, Machine Learning, Advanced Analytics, or Generative AI solutions.
• AI solutions successfully deployed into production.
• Measurable client outcomes such as productivity improvement,

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