AI Quality Assurance Engineer – Intelligent Automation
Role Overview
We are looking for a 5-8 years experienced AI QA Automation Tester to support a financial process automation solution built using Microsoft Power Platform technologies, primarily Power Automate, Power Apps, and Excel-based automation/scripts.
The solution also incorporates AI-based document extraction through APIs and may include Python-based automation components. The QA Tester will be responsible for validating end-to-end automated workflows, ensuring the accuracy and integrity of financial data, identifying automation failures and edge cases, and confirming that system outputs meet defined business requirements.
The role requires close collaboration with developers, business analysts, and finance stakeholders to ensure the automation solution is reliable, accurate, and production-ready.
Key Responsibilities
Perform functional and end-to-end testing of Power Automate workflows, validating triggers, conditions, business rules, integrations, exception paths, and outputs.
Test Power Apps functionality,



including user inputs, validations, workflow integrations, business rules, and expected application behaviour.
Validate Excel-based scripts and automated processing, ensuring calculations, transformations, mappings, and generated outputs are accurate.
Test AI-based document extraction capabilities and validate extracted information against source documents for accuracy, completeness, and consistency.
Validate API interactions associated with AI/document-processing components, including request/response handling and error scenarios.
Test Python-based scripts and automation components, where applicable, to verify functional accuracy and expected outputs.
Perform data validation and reconciliation across source documents, intermediate processing stages, and final financial outputs.
Develop and execute test scenarios covering positive, negative, boundary, exception, and edge-case conditions.
Identify auto

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