RPA Engineer/Consultant (UiPath/BluePrism)

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

• Degree in Computer Science, Engineering, or related field (Bachelor’s, Master’s, or equivalent).
• Minimum 3 years of experience with UiPath or other RPA technologies, including design and deployment of complex automations.
• Hands-on experience in Python development (automation scripts, AI/ML workflows); familiarity with libraries such as Pandas, NumPy, or AI frameworks is a plus.
• Knowledge of object-oriented programming in languages such as Java, C#, Golang, or JavaScript.
• Understanding of Agentic Automation concepts and ability to integrate AI components into automation workflows.
• Strong problem-solving skills and ability to translate business processes into technical solutions.
• Good written and verbal communication skills (English B2 or higher).
• Basic understanding of business processes and their optimization through automation.

• Design, develop, and deploy automation solutions using UiPath and other RPA platforms, integrating with diverse systems and APIs.
• Build intelligent automations leveraging Agentic Automation principles and AI-driven components.
• Develop Python-based solutions for automation, data processing, and AI workflows; contribute to reusable libraries and frameworks.
• Apply best practices and recognized frameworks to ensure scalability, maintainability, and security of automation solutions.
• Perform testing, troubleshooting, and documentation of developed solutions.
• Collaborate with stakeholders to analyze business needs, propose optimal automation strategies, and support decision-making.
• Monitor, optimize, and continuously improve existing automations and AI models.