AI, Data & Analytics Quality Engineer
Rakesh RampuramRemoteMIDPosted 3d ago
Quality AssuranceQuality EngineeringSoftware TestingData AnalyticsBusiness IntelligenceReporting SolutionsAI-enabled ApplicationsMicrosoft FabricPower BITest AutomationSQLAPI TestingSystem IntegrationsAgileGenerative AIPrompt EngineeringDynamics 365DataversePower PlatformPlaywrightMablCI/CDData GovernanceData LineageMicrosoft FabricPower BIData EngineeringAI
About the Role
We are seeking an AI & Analytics Quality Engineer responsible for ensuring the quality, accuracy, and reliability of AI-enabled solutions, Microsoft Fabric data products, and enterprise reporting platforms. This role will validate AI outputs, reporting solutions, data pipelines, integrations, and analytics while driving test automation to improve quality, coverage, and efficiency.
Key Responsibilities
• Test and validate AI-enabled solutions, Microsoft Copilot capabilities, and AI-generated outputs.
• Evaluate, pilot, and implement AI-enabled testing solutions to increase automation, improve test efficiency, and strengthen quality validation for AI-powered applications, data platforms, and reporting products.
Requirements
• 5+ years of Quality Assurance, Quality Engineering, or Software Testing experience.
• 3+ years testing data, analytics, business intelligence, or reporting solutions.
• Experience testing AI-enabled applications, Copilot solutions, or AI-generated outputs.
• Experience with Microsoft Fabric, Power BI, or similar analytics platforms.
• Experience designing and implementing test automation solutions.
• Strong SQL, data validation, and analytical testing skills.
• Experience testing APIs and system integrations.
• Experience working in Agile environments.
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and experience.