IT Engineer

As a forward-thinking Microsoft Copilot Studio AI Engineer at Skillsoft, you will have the opportunity to lead the design, development, and deployment of intelligent agents using Microsoft Copilot Studio and Azure AI tools. Your role will involve collaborating with stakeholders to identify business needs, designing and optimizing intelligent agents, integrating them into enterprise ecosystems, deploying them across channels, enhancing automation, monitoring performance, and designing human-in-the-loop workflows to support accuracy and compliance. You will also apply Responsible AI principles in the development process and stay updated with Microsoft Copilot platform updates and industry best practices. **Key Responsibilities:** - Collaborate with stakeholders to identify business needs and define Copilot use cases. - Design, build, and optimize intelligent agents using Microsoft Copilot Studio, Azure AI Studio, and Azure AI Foundry. - Integrate agents into enterprise ecosystems via APIs and connectors. - Deploy agents across channels like Microsoft Teams, Slack, and web. - Enhance automation using Azure Logic Apps, Azure Functions, and Azure Cognitive Services. - Monitor and analyze performance using Azure Monitor, Application Insights, and feedback telemetry. - Design human-in-the-loop (HITL) workflows to support accuracy, compliance, and trust. - Apply Responsible AI principles in development, testing, and deployment processes. - Build reusable templates, connectors, and governance frameworks for agent scalability. - Stay current with Microsoft Copilot platform updates and industry best practices. - Rapidly prototype and iterate in sandbox environments to test new agent capabilities. **Skills & Qualifications - Required Skills & Expertise:** **Core Engineering Skills** - Proven hands-on experience with Microsoft Copilot Studio, Power Platform, and Azure AI services. - Experience building solutions with Azure AI Foundry, Azure OpenAI, and Cognitive Services. - Solid programming background in C#, JavaScript, Python, or equivalent. - Proficiency with large datasets and BI tools for telemetry and feedback integration. **AI/LLM Expertise** - Proficient in working with large language models (LLMs), including prompt engineering, fine-tuning, and evaluation using established AI benchmarking frameworks. - Deep understanding of agent orchestration patterns, including memory management, feedback loops, tool use, and HITL systems. - Experience designing and deploying intelligent copilots using Azure AI Studio or Copilot Studio, focusing on grounding, safety, and user experience. **Enterprise Integration** - Experience integrating with enterprise systems such as Salesforce, Workday, and Microsoft 365. - Knowledge of API development, RBAC, data governance, and enterprise-grade security. **Preferred Qualifications:** - Experience with Microsoft 365 Copilot, Copilot connectors, and multi-channel AI deployments. - Understanding of conversational UX, agent lifecycle management, and middleware integration. - Microsoft certifications such as PL-500, AI-102, or Power Platform Solution Architect. - Bachelor's degree in computer science, Engineering, or a related technical discipline. If you are intrigued by the opportunity to shape enterprise-wide AI transformation and work with cutting-edge technologies at Skillsoft, we encourage you to apply. Thank you for considering Skillsoft as your potential employer. As a forward-thinking Microsoft Copilot Studio AI Engineer at Skillsoft, you will have the opportunity to lead the design, development, and deployment of intelligent agents using Microsoft Copilot Studio and Azure AI tools. Your role will involve collaborating with stakeholders to identify business needs, designing and optimizing intelligent agents, integrating them into enterprise ecosystems, deploying them across channels, enhancing automation, monitoring performance, and designing human-in-the-loop workflows to support accuracy and compliance. You will also apply Responsible AI principles in the development process and stay updated with Microsoft Copilot platform updates and industry best practices. **Key Responsibilities:** - Collaborate with stakeholders to identify business needs and define Copilot use cases. - Design, build, and optimize intelligent agents using Microsoft Copilot Studio, Azure AI Studio, and Azure AI Foundry. - Integrate agents into enterprise ecosystems via APIs and connectors. - Deploy agents across channels like Microsoft Teams, Slack, and web. - Enhance automation using Azure Logic Apps, Azure Functions, and Azure Cognitive Services. - Monitor and analyze performance using Azure Monitor, Application Insights, and feedback telemetry. - Design human-in-the-loop (HITL) workflows to support accuracy, compliance, and trust. - Apply Responsible AI principles in development, testing, and deployment processes. - Build reusable templates, connectors, and governance frameworks for agent scalabilit