AI Architect - Pan India

Capgemini; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Capgemini seeks a senior technology leader to drive AI-driven transformations across manufacturing and industrial operations. You will architect and deliver GenAI-powered solutions, lead large transformation programs, and guide client engagements from discovery through execution in a global-capability environment.

You will work with cross-functional teams to design scalable architectures, deploy data and AI platforms, and ensure governance, security, and value realization in complex industrial

Qualifications

• Bachelor's or Master's degree is required in Engineering, CS, Industrial Eng, Data Science, or related field.
• 7+ years of experience in Manufacturing, Industrial Operations, Digital Manufacturing, Industry 4.0, or Industrial Digital Transformation.
• 3+ years designing and deploying AI, Analytics, ML, or GenAI solutions.
• Experience leading large-scale enterprise transformation programs.
• Strong client-facing consulting and solution architecture experience.

Skills

AI & Analytics

GenAI & LLMs

MLOps

Industrial AI

Time-Series Analytics

Knowledge Graphs

Databricks

Microsoft Fabric

Cloud Platforms

Data Governance

IIoT

ERP Integration

SCADA/DCS/PLCs

API & Integration

LLMOps

Education

Bachelor's or Master's degree in Engineering, CS, Industrial Engineering, Data Science, or related field

Tools

Neo4j

Cognite

AVEVA CONNECT

DataHub

Data Engineering Tools

Job description

Bachelor's or Master's degree in Engineering, Computer Science, Industrial Engineering, Data Science, or related field.

Experience

• 7+ years of experience in Manufacturing, Industrial Operations, Digital Manufacturing, Industry 4.0, or Industrial Digital Transformation.
• 3+ years designing and deploying AI, Analytics, Machine Learning, or GenAI solutions.
• Experience leading large-scale enterprise transformation programs.
• Strong client-facing consulting and solution architecture experience.

Required Technical Skills

• AI & Advanced Analytics
• Generative AI and Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)
• Agentic AI and Multi-Agent Architectures
• Machine Learning and Predictive Analytics
• Computer Vision
• Time-Series Analytics
• Knowledge Graphs (Neo4j preferred)
• RAG Architecture and Vector Databases
• Databricks
• Microsoft Fabric
• AWS or Google Cloud AI Platforms
• Data Engineering and Data Governance
• Industrial & Manufacturing Systems
• SCADA, DCS, PLC Ecosystems
• ERP (SAP, Oracle)
• PLM and Engineering Systems
• IIoT Platforms
• Architecture & Engineering
• API and Integration Design
• MLOps / LLMOps
• AI Governance & Responsible AI
• Cybersecurity for Industrial Environments

Preferred Qualifications

• Experience in Manufacturing Copilots, Operations Copilots, or Engineering Assistants.
• Experience with Digital Twin platforms and simulation technologies.
• Certifications in Azure AI, Azure Solutions Architecture, AWS ML, or equivalent.
• Experience working with industrial data platforms such as Cognite, AVEVA CONNECT, or DataHub platforms.
• Familiarity with autonomous operations and closed-loop optimization systems.
• Strategic Thinking
• Executive Communication
• Consultative Problem Solving
• Cross-Functional Leadership
• Manufacturing Domain Expertise
• Stakeholder Management
• Business Value Realization

Success Metrics

• 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.