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AI Architect

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted a month ago

No clicks

**AI Architect** | 10-18 yrs exp. | Manufacturing/AI Transformation Lead AI solution architecture, engagements, and transformations. Proficient in Generative AI (GPT, Claude, Gemini, Llama), Prompt Engineering, Agentic AI (CrewAI, AutoGen, LangGraph, Semantic Kernel), Python, FastAPI, REST APIs, and Microservices. Strong knowledge of RAG, Vector Databases, and cloud-based AI platforms (Azure OpenAI, AWS Bedrock). 7+ yrs in manufacturing/industry 4.0, 3+ yrs AI solution deployment.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
India

Full Job Description

Job Description

AI Solution Architect
Experience: 1018 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 frontiercapable 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.

AI Architect

Compensation

Not specified

City: Not specified

Country: India

Capgemini logo
Consultancies

a month ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**AI Architect** | 10-18 yrs exp. | Manufacturing/AI Transformation Lead AI solution architecture, engagements, and transformations. Proficient in Generative AI (GPT, Claude, Gemini, Llama), Prompt Engineering, Agentic AI (CrewAI, AutoGen, LangGraph, Semantic Kernel), Python, FastAPI, REST APIs, and Microservices. Strong knowledge of RAG, Vector Databases, and cloud-based AI platforms (Azure OpenAI, AWS Bedrock). 7+ yrs in manufacturing/industry 4.0, 3+ yrs AI solution deployment.

Full Job Description

Job Description

AI Solution Architect
Experience: 1018 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 frontiercapable 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.