AI Architect
Capgemini
- Location
- Onsite (pune, Maharashtra)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the Role
Capgemini is seeking an AI Solution Architect to lead the design and delivery of AI-driven solutions for manufacturing and industrial clients. This role focuses on driving operational outcomes through AI innovation, solution architecture, and business transformation in the Industry 4.0 space.
Skills
Generative AI
LLMs
Prompt Engineering
Agentic AI
Multi-Agent Systems
Python
FastAPI
REST APIs
Microservices
RAG
Vector Databases
Azure OpenAI
AWS Bedrock
AI Governance
Industry 4.0
Digital Manufacturing
Full job details
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.
• Strong 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, cost reduction, quality enhancement, and operational efficiency gains.
• Growth of AI-driven business pipeline and revenue.
• Development of reusable assets and industrial AI accelerators.
• Increased adoption of AI across manufacturing and industrial operations.
• Client satisfaction and executive stakeholder trust.
Ideal Profile
• A visionary technology leader who understands both the factory floor and the AI frontier—capable of transforming industrial operations through scalable, responsible, and outcome-driven AI solutions.
About Us
At Capgemini Engineering, we bring together industry experts, engineers, architects, and technologists to help organizations harness innovation and achieve sustainable business outcomes. Our expertise spans Digital Manufacturing, AI, Data, Cloud, and Industry 4.0, enabling clients to transform operations and unlock new business value.