AI Automation Engineer – Microsoft Copilot

JOB DESCRIPTION

We are seeking an experienced AI Automation Engineer specializing in Microsoft Copilot and intelligent automation to design, develop, and implement AI-powered solutions that automate business processes, improve productivity, and streamline enterprise workflows.

The ideal candidate will have hands-on experience with Microsoft Copilot, Copilot Studio, Power Platform, generative AI, workflow automation, and enterprise application integrations. The candidate should be capable of translating business requirements into scalable AI-driven solutions while ensuring security, governance, and performance.

Key Responsibilities

• Design, develop, and deploy AI-powered automation solutions using Microsoft Copilot and Copilot Studio.
• Build custom copilots, conversational agents, and virtual assistants to automate business processes.
• Develop automated workflows using Microsoft Power Automate and integrate with Power Apps and other Microsoft 365 services.
• Configure topics, triggers, actions, connectors, and conversational flows in Copilot Studio.
• Integrate AI solutions with SharePoint, Microsoft Teams, Outlook, Dataverse, Dynamics 365, and enterprise APIs.
• Leverage Azure OpenAI, large language models (LLMs), and generative AI capabilities to develop intelligent automation solutions.
• Implement retrieval-augmented generation (RAG), knowledge grounding, and enterprise document search where appropriate.
• Develop custom connectors, REST API integrations, and automation scripts using Python, JavaScript, or PowerShell.
• Apply prompt engineering, response validation, and testing techniques to improve AI accuracy and reliability.
• Implement authentication, role-based access control, data protection, and responsible AI practices.
• Troubleshoot automation failures, optimize workflows, and monitor deployed solutions.
• Collaborate with business analysts, architects, developers, and stakeholders to identify automation opportunities and deliver measurable business outcomes.
• Prepare technical documentation, deployment guides, and operational support procedures.

Required Technical Skills

• Experience: 4–6 years in software development, automation engineering, AI engineering, or related roles.
• Microsoft Copilot: Hands-on experience with Microsoft Copilot Studio and building custom copilots or AI agents.
• Power Platform: Proficiency in Power Automate; working knowledge of Power Apps and Dataverse.
• Microsoft 365: Experience integrating SharePoint, Teams, Outlook, and other Microsoft 365 applications.
• Generative AI: Understanding of LLMs, prompt engineering, grounding, and AI-assisted automation.
• API Integration: Experience with REST APIs, JSON, authentication mechanisms, and custom connectors.
• Programming: Proficiency in at least one language, preferably Python, JavaScript, or PowerShell.
• Azure: Familiarity with Azure services, Azure OpenAI, Microsoft Entra ID, and application security.
• Data and Knowledge Sources: Experience connecting enterprise documents, structured data, and knowledge repositories to AI solutions.
• Testing and Troubleshooting: Ability to validate outputs, debug workflows, and improve reliability.