Capgemini

Azure GenAI

Job Description

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 bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Your Role

  • Build and integrate LLM‑powered applications using Azure OpenAI, GPT models, and prompt engineering best practices.
  • Develop chatbots, RAG (Retrieval-Augmented Generation) systems, semantic search, and embeddings‑based solutions.
  • Optimize prompts, fine‑tune models, and experiment with model parameters for performance and accuracy.
  • Implement content moderation, safety filters, and responsible AI practices.
  • Architect and deploy solutions on Azure AI / Azure OpenAI / Azure Machine Learning / Cognitive Search.
  • Manage and optimize cloud infrastructure using Azure Functions, AKS, App Services, Azure Kubernetes, APIM.
  • Set up CI/CD pipelines using GitHub Actions / Azure DevOps for ML and app deployments.
  • Ensure compliance, scalability, and cost optimization across Azure resources.
  • Build data pipelines using Azure Data Factory, Data Lake, Synapse.
  • Develop vector databases (like Azure Cognitive Search, Pinecone, Redis Vector Store).
  • Implement monitoring, versioning, and lifecycle management for AI models.

Your Profile

  • Strong experience with Azure OpenAI, Azure Machine Learning, Cognitive Search, and AI Studio.
  • Solid understanding of LLMs, embeddings, RAG pipelines, vector search, prompt engineering.
  • Hands‑on experience with Python, REST APIs, and cloud‑native development.
  • Understanding of responsible AI, data privacy, and application security.
  • Experience with MLOps tools (MLflow, Azure Monitor, Application Insights).
  • Knowledge of Docker, Kubernetes (AKS).
  • Experience with Power Platform AI Builder, and Microsoft Copilot stack.
  • Familiarity with LangChain / Semantic Kernel / LlamaIndex.
  • Exposure to fine‑tuning or training models using PyTorch or TensorFlow.

What you'll love about working here

  • We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
  • Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons.
  • At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to 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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