
10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
🕒 July 9
Where this job comes from
Posted on Capgemini's careers page ↗, not through a job board
First seen by Remote Rocketship July 9
Still open on Capgemini's site. Checked 2 hours ago.

10,000+ employees
Founded 1967
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.
• Design agentic architectures • Build AI agents with planning and tool use • Develop multi-agent systems • Implement RAG pipelines • Integrate APIs and enterprise systems • Monitor performance and ensure responsible AI • Design, build, and deploy intelligent autonomous systems using Azure AI Foundry • Develop AI agents capable of reasoning, planning, and executing workflows using LLMs and enterprise data
• Knowledge of Python, C#, or JavaScript • Knowledge of vector databases, APIs, and microservices • Knowledge of Azure AI Foundry and Azure OpenAI • Knowledge of prompt engineering and RAG • Experienced Professionals level
• Flexible work arrangements, including remote work and flexible work hours • Career growth programs and diverse professional opportunities • Certifications in the latest technologies, such as Generative AI
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