AI Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

Job Objective

Design, develop, implement, and operate enterprise solutions based on Generative Artificial Intelligence, Machine Learning, and Intelligent Automation on Microsoft Azure. You will be responsible for building scalable AI components, integrating foundational models and cognitive services with enterprise applications, and ensuring the secure, efficient, and governed operation of solutions in production environments.

Main Responsibilities

AI Solution Development

• Design and implement applications based on Generative AI and Large Language Models (LLM).
• Build enterprise copilots, virtual assistants, and intelligent agents.
• Develop semantic search and Retrieval-Augmented Generation (RAG) solutions.
• Implement reasoning, orchestration, and automation mechanisms using AI agents.
• Integrate AI services with enterprise applications, APIs, and data platforms.
  
  
  

Data Engineering for AI

• Design data ingestion, transformation, and enrichment pipelines.
• Implement knowledge indexing and vectorization strategies. Manage structured and unstructured knowledge repositories.
• Ensure the quality, consistency, and traceability of data used by AI models.
  
  
  

Implementation and Operation

• Deploy solutions using Azure managed services.
• Implement LLMOps, MLOps, and DevSecOps best practices.
• Monitor the performance, costs, accuracy, and adoption of solutions.
• Manage versions of AI prompts, models, and components.
  
  
  

Quality and Security

• Apply Responsible AI principles.
• Implement security and data protection controls.
• Ensure compliance with business and regulatory standards.
• Participate in architecture and technical quality reviews.
  
  
  

Required Technology Stack

Azure AI & GenAI

• Azure OpenAI Service
• Azure AI Foundry
• Azure AI Search
• Azure AI Content Safety
• Azure Machine Learning
• Azure AI Document Intelligence
• Azure AI Language Services
• Azure Cognitive Services
  
  
  

Application Development

• Python
• C#
• .NET 8
• REST APIs
• FastAPI
• ASP.NET Core
• JavaScript/TypeScript
  
  
  

AI Frameworks

• Semantic Kernel
• LangChain
• LangGraph
• AutoGen
• CrewAI
• OpenAI SDK
• Azure AI SDK
  
  
  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.