Role Overview
We are looking for an experienced AI & Analytics Quality Engineer to ensure the quality, accuracy, and reliability of AI-enabled solutions, Microsoft Fabric data products, Power BI reports, and enterprise analytics platforms.
Key Responsibilities
- Test and validate AI-enabled solutions, Microsoft Copilot, and AI-generated outputs.
- Evaluate and implement AI-powered testing solutions to improve automation and efficiency.
- Validate Microsoft Fabric, Power BI, and enterprise reporting solutions.
- Verify data quality, business rules, calculations, KPIs, and report accuracy.
- Perform data reconciliation, source-to-target validation, API testing, and integration testing.
- Design and maintain automated tests for AI, data, and reporting solutions.
- Execute functional, integration, regression, and UAT testing.
- Collaborate with Product Owners, Data Engineers, Developers, and business stakeholders.
Required Skills
- Quality Assurance / Quality Engineering / Software Testing
- AI Testing, Microsoft Copilot, and AI Output Validation
- Microsoft Fabric and Power BI
- SQL, Data Validation, and Data Reconciliation
- Test Automation Frameworks
- API Testing and System Integrations
- Agile Methodologies and Enterprise Reporting
Preferred Skills
- Generative AI and Prompt Engineering
- Dynamics 365 CE, Dynamics 365 F&O, Dataverse, and Power Platform
- Playwright, Mabl, or similar automation tools
- CI/CD Pipelines and Quality Engineering
- Data Governance and Data Lineage
Preferred Certifications
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior