Senior Software Developer (Microsoft Copilot Studio, Power Platform, Python)

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 over 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 2025 global revenues of €22.5 billion.

• Hands-on experience in automation and AI development with Microsoft Copilot Studio
• Demonstrated ability to deliver at least one successfully implemented, functioning solution aligned with the responsibilities of this role
• Proficiency in Power Automate, Python, and low-code solution development
• Understanding of NLP concepts and automation workflows
• Knowledge of Power Platform tools including Power Apps and Dataverse
• Ability to extend AI agent components within enterprise architectures
• Experience delivering scalable, secure AI and automation solutions
• Working knowledge of cloud platforms (AWS, GCP, Azure), DevOps practices, and integration patterns
• Familiarity with multi-agent workflows, reasoning engines, and autonomous agent design

Nice to have:

• Basic understanding of API key authentication for custom connectors
• Expertise in Python for AI development or scripting tasks
• Familiarity with Microsoft 365 Agents SDK
• Experience with generative or agentic AI prototyping
• Knowledge of Microsoft, SAP, or Oracle system integrations
• Exposure to AI safety testing frameworks
• Consulting or client-facing technical background

• Design, configure, and deploy AI agents in Microsoft Copilot Studio
• Integrate agents with Power Apps and Power Automate to automate workflows
• Build and extend custom connectors enabling interaction with external services and data sources
• Support conversational AI features, ensuring accurate data access and robust NLP behaviors
• Troubleshoot, optimize, and maintain deployed AI agents for reliability and performance
• Collaborate on enterprise-scale integrations and lifecycle improvements