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Location
In office (Hyderabad)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026. Capgemini scores B on the Alion truth index.

Overview
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Impact
Profile match
Capgemini is a French information technology services and consulting group founded in Grenoble in 1967 by Serge Kampf, and one of the largest IT service providers in the world. It designs, builds and runs systems for large enterprises and governments across some fifty countries, with a delivery workforce concentrated in India and a European client base heavier than most of its competitors. The group is organised into Capgemini Invent for strategy and design, Capgemini Engineering for research and development services acquired with Altran, and Sogeti for local technology services, and it has reoriented its portfolio around cloud migration, data platforms and generative AI.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

We are seeking a highly skilled Generative AI Engineer with strong expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GenAI Amplifier, Azure, AWS, SQL, LLMOps, and MLOps.

The ideal candidate will design, develop, deploy, and optimize enterprise-grade AI solutions leveraging advanced GenAI technologies and cloud platforms.

Your Profile

Design, develop, and implement Generative AI solutions using LLMs and RAG frameworks.

Build and optimize AI applications utilizing OpenAI, Azure OpenAI, Anthropic, Llama, and other foundation models.

Develop scalable AI services and APIs using Python.

Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

Design and manage end-to-end MLOps and LLMOps pipelines for model deployment, monitoring, and governance.

Leverage GenAI Amplifier frameworks for rapid AI solution development and deployment.

Develop AI-powered chatbots, virtual assistants.

Deploy AI applications on Azure and AWS cloud environments.Implement model monitoring, prompt engineering, model evaluation, and AI observability practices.

Collaborate with business stakeholders, architects, and cross-functional teams to translate business requirements into AI solutions.

Ensure compliance with AI governance, security, responsible AI, and data privacy standards.

Mentor junior team members and contribute to AI best practices and innovation initiatives.

What you'll love about working here

We offer a range of career paths and internal opportunities within Capgemini group.

You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.

At Capgemini, you can work on cutting-edge projectsin tech and engineering with industry leaders or create solutionsto overcome societal and environmental challenges.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real | www.capgemini.com

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