We’re seeking a motivated and curious Graduate AI Engineer to join our team and help build intelligent solutions using Microsoft 365, Power Platform, and Copilot agents. This role is ideal for someone passionate about applying AI to real-world business workflows, automation, and productivity enhancement.
You’ll work alongside an experienced engineers and business leaders to design, deploy, and optimise AI-powered agents and automation flows that support enterprise operations.
Main Responsibilities
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Design and Build Copilot Agents
Assist in creating intelligent agents using Copilot Studio to automate tasks, summarise content, and interact with users across Microsoft Teams, Outlook, and SharePoint.
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Develop Power Automate Flows
Build and maintain Power Automate workflows that integrate AI services, automate business processes, and connect Microsoft 365 apps.
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Integrate AI Models into M365 Workflows
Use AI services to enhance productivity tools with intelligent features like summarization, classification, and decision support.
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Data Preparation and Analysis
Work with structured and unstructured data from Microsoft 365 (e.g., emails, documents, Teams chats) to train or fine-tune AI models.
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Experimentation and Evaluation
Run experiments to test Copilot agent performance, user interaction quality, and automation reliability.
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Monitoring and Optimization
Monitor deployed agents and flows, analyse usage patterns, and optimize for performance and user satisfaction.
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Documentation and Reporting
Maintain clear documentation of agent logic, automation flows, and AI model behavior. Present findings to technical and business stakeholders.
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Collaboration Across Teams
Work closely with software engineers, architects, and business analysts to align AI solutions with enterprise goals.
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Ethical AI Practices
Learn and apply responsible AI principles, including transparency, fairness, and user privacy.
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Continuous Learning
Participate in training, mentorship, and hands-on projects to build foundational skills in AI engineering and Microsoft cloud technologies.