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Mid-level QA title is common but niche Copilot/Conversational AI skills reduce applicant density.
Specialized Copilot Studio and Microsoft Power Platform expertise limits cross-industry transferability.
Requires specific Copilot Studio, conversational AI, Power Platform skills plus 5–8 years experience, so strict filtering likely.
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Design and execute comprehensive test plans for Microsoft Copilot Studio AI-powered copilots and conversational agents, covering functional, regression, integration, and UAT testing.
Validate conversational AI elements including flows, prompts, generative AI responses, and knowledge sources to ensure high accuracy and seamless user experience.
Manage defect lifecycle from identification through resolution and validate security aspects such as authentication and role-based access.
5–8 years of experience in software QA and testing with focus on AI and conversational technologies.
Proficiency in Microsoft Copilot Studio testing, conversational AI testing, Microsoft Power Platform, REST API testing, and defect management.
Experience with Azure DevOps or equivalent test management tools.
B Tech or MCA degree.
Experienced QA professional specifically skilled in AI-powered conversational platforms with strong domain expertise in Microsoft Copilot Studio and related integrations.
Proven ability to design and execute detailed test cases including validation of generative AI responses and security controls in enterprise environments.
Operational focus on continuous quality improvement and test automation support within Agile or collaborative stakeholder settings.