AI ENGINEER

About the Role

Saint-Gobain Innovation Hub India (SGI-I) is seeking highly motivated Agentic AI Engineers to develop and deploy next-generation AI solutions that accelerate scientific discovery, engineering innovation, manufacturing excellence, and knowledge discovery across Saint-Gobain's global R&D ecosystem.

This role goes beyond building AI prototypes. You will work closely with researchers, engineers, scientists, manufacturing experts, and global business stakeholders to design, develop, deploy, and scale enterprise-grade AI solutions that solve real-world scientific and engineering challenges.

The ideal candidate combines strong software engineering skills with hands-on expertise in Prompt Engineer, Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), AI Search, and enterprise AI platforms, while maintaining a strong focus on business impact, usability, and adoption.

Key Responsibilities

• Design and develop AI solutions for research, product innovation, and digital transformation initiatives.
• Build Agentic AI applications for technical knowledge discovery, experiment planning, process optimization, troubleshooting, and decision support.
• Develop RAG-based AI solutions using research publications, patents, laboratory reports, technical documents, and enterprise knowledge repositories.
• Build reusable AI platforms, APIs, and enterprise services for global R&D and manufacturing organizations.
• Integrate AI solutions with enterprise data platforms, laboratory systems, simulation tools, and cloud ecosystems.
• Collaborate with multidisciplinary teams to identify and deliver high-impact AI solutions.
• Ensure AI solutions are scalable, secure, explainable, and aligned with Responsible AI principles.

Required Skills

• Strong Python programming skills with experience developing enterprise AI applications.
• Hands-on experience with LLMs, Agentic AI, RAG, Prompt Engineering, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI frameworks.
• Strong knowledge of Machine Learning, Deep Learning, NLP, and Computer Vision.
• Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, or equivalent cloud AI platforms.
• Experience with vector databases, semantic search, knowledge graphs, and AI search technologies.
• Experience building REST APIs, FastAPI, microservices, and scalable AI applications.
• Familiarity with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, MLOps, Docker, Kubernetes, Git, and CI/CD.
• Exposure to engineering, manufacturing, or scientific data is preferred.

Education & Experience

Education (Mandatory)

• M.E./M.Tech. or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Materials Science, Mechanical Engineering, Chemical Engineering, Metallurgy, Physics, Electronics, or a related engineering/scientific discipline.
• Strong research background with demonstrated application of AI to engineering or scientific problems is preferred.

Experience

• 3 -5 years of experience in AI, Machine Learning, Data Science, or AI Engineering.
• Experience developing AI solutions for industrial R&D, engineering, manufacturing, or scientific environments.
• Experience collaborating with multidisciplinary research and engineering teams.

Preferred Profile

• Experience working in industrial R&D organizations, innovation centers, or technology development teams.
• Demonstrated ability to solve engineering or scientific problems using AI and Machine Learning.
• Publications, patents, or technical contributions will be an added advantage.
• Strong analytical, communication, and stakeholder management skills with a passion for applying AI to scientific discovery and engineering innovation.

Preferred Domain Experience

Candidates with AI experience in one or more of the following domains will be highly preferred:

Factory AI

• Manufacturing Process Innovation
• Advanced Manufacturing
• Process Engineering
• Industrial Automation
• Digital Engineering & Process Simulation
• Manufacturing Analytics