The Tech Stack Deep-Dive Must-Haves: Core QA & Automation: Test automation frameworks, functional, regression, API, integration, and continuous testing (shift-left). Intelligent Automation: Testing RPA workflows (attended/unattended) and Power Platform solutions (Power Apps, Power Automate, Dataverse). AI Quality Engineering: Testing AI agents, prompt/model behavior, response validation, hallucinations, safety boundaries, and guardrails. Methodologies & Certs: Agile delivery, full-lifecycle defect tracking, and ISTQB Foundation Certification . Nice-to-Haves: Platforms & Tools: Microsoft Copilot Studio, Azure AI Foundry, UiPath, or Automation Anywhere. DevOps & Engineering: Azure DevOps, CI/CD quality gates, PowerShell, SQL, and REST APIs. Certifications: Microsoft PL-100/PL-200, AI-102 (Azure AI Engineer), AZ-900, or AI-900. Key Responsibilities Engineer Robust Automated Suites: Design and maintain automated regression packs and integrate automated quality gates into active CI/CD pipelines. Stress-Test AI & Guardrails: Validate GenAI outputs, Copilot prompts, and conversational agents against strict safety controls, business rules, and hallucination risks. Validate Power Platform & Process Automation: Execute end-to-end functional and integration testing across Power Apps, custom connectors, and RPA bot workflows. Why Join Us Pioneer GenAI Quality: Move beyond standard functional testing into real-world AI evaluation, model drift verification, and prompt governance. Enterprise-Scale Impact: Ensure mission-critical automation directly protects business stability, compliance, and user trust at scale. Continuous Engineering Growth: Work in an Agile environment that champions shift-left practices, automated frameworks, and certifications