C-FIN-275 Software Engineering Intern, AI, Automation and Business Intelligence
CAEAbout the role
⠀ This position is exclusively open to students pursuing a university degree. Internship dates: From January 4 to April 23 2027
Are you looking for a work environment where you can innovate, reach greater heights and collaborate with experts from a wide range of sectors? Would you like to join a world-class company and industry leader and contribute to projects you can be proud of? Come share your passion with us!
The role we are offering you
By joining the Global Finance Systems and Support team, you will help improve the financial systems, business processes, reporting solutions and support services used across CAE’s global operations. You will contribute to practical initiatives selected according to business priorities, your technical aptitude and your learning objectives. You will gain hands-on exposure to Microsoft Copilot, Power Automate, SharePoint, Azure DevOps, Power BI and modern automation solutions. You will also receive mentorship from experienced professionals in enterprise software development, system integration, analytics and automation.
Are you ready to
AI and Copilot agent development
Contribute to the design and enhancement of AI-powered Copilot agents for business users and support teams. Help connect AI and search experiences to key knowledge sources, including SharePoint documentation, training materials, support procedures, Azure DevOps work items, solution repositories and knowledge base articles. Improve self-service capabilities by helping users find known solutions, troubleshooting guides, FAQs and previously resolved support issues. Support feedback analysis and knowledge management practices to improve AI responses over time.
Business process automation
Develop, maintain and optimize Power Automate workflows supporting Global Finance Support operations. Automate business processes between SharePoint, Azure DevOps, Microsoft 365 and other enterprise systems. Design solutions that reduce manual effort and improve s
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