Power Platform Engineer

Are you ready to be part of an organisation that values expertise, passion and diversity? At CFS we know that the foundation of our success lies in our exceptional people. We believe in celebrating individuality, have a passion for high performance and creating an environment where you can unleash your full potential. Our people enable us to make a difference and deliver exceptional experiences to help our customers achieve financial freedom.

Your Team

The Technology Transformation & Operations team at CFS drives operational excellence, transformation, and scalable technology across the organisation. The Power Platform Engineer supports these priorities by delivering automation and AI-enabled solutions. Reporting to the Senior Manager, Automation and AI, the role collaborates with business stakeholders, technology teams, and governance functions to implement enterprise-wide solutions.

Requirements

• Hands-on experience designing and deploying AI solutions using Copilot Studio and Microsoft Power Platform
• Strong experience with enterprise platforms, process automation, and integrations across business systems
• Solid understanding of emerging technologies including generative AI, machine learning, and automation
• Ability to teach technical concepts to non-technical stakeholders and collaborate across diverse teams

Desirable

• Experience in financial services or other highly regulated industries
• Experience building AI agents, automations, or integrations using Python and API-based architectures
• Exposure to enterprise data, analytics, or platforms such as Databricks, Dynamics 365, or similar

• Build and deploy workflow automations using Power Platform tools (Power Automate, Power Apps, Power BI, Copilot Studio)
• Design and develop AI-enabled solutions, including custom components using Python where needed
• Create AI agents that can autonomously perform tasks and interact with users via chat, notifications, and actions
• Collaborate with stakeholders to gather requirements and identify automation/AI opportunities
• Support end-to-end delivery including prototyping, testing, deployment, and optimisation
• Maintain and continuously improve AI solutions, platforms, and post-deployment operations