AI Architect

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.