Senior AI QA Engineer

Job Description:

We are seeking a detail-oriented QA Engineer to test and assure the quality, performance, reliability, and compliance of solutions built using Microsoft Power Platform and Copilot Studio, including data integrations and AI/ML-enabled features. This role will lead test planning and execution across low-code applications, automated workflows, APIs/custom connectors, and conversational AI experiences, partnering closely with developers, data engineers/scientists, and business stakeholders.

Key Responsibilities:

• Define and maintain QA strategy, test approach, and coverage for Power Platform and Copilot Studio solutions.
• Create, review, and execute test plans, test cases, and test scripts across SDLC phases.
• Perform functional, smoke, regression, integration, end-to-end testing.
• Ensure traceability between requirements, test cases, defects, and releases.
• Validate Dataverse/Databricks tables/entities, Power Automate flow, relationships, security roles, and data integrity rules.
• Design and execute conversation test scenarios for multi-turn context, ambiguity handling, and error recovery.
• Perform regression testing for AI  bot behaviour changes due to configuration updates, connector changes, or model/version updates.
• Perform API testing for REST services, Azure ML endpoints, and custom integrations using tools such as Postman/JMeter.
• Test data integrations and pipelines involving Azure Databricks, Azure Storage and Dataverse.
• Plan and execute performance and load tests for workflows and APIs
• Use JMeter to simulate real-world traffic patterns and produce performance reports
• Identify, document, and track defects using Azure DevOps, Jira, or equivalent tools.
• Communicate test status, risks, and release readiness to stakeholders.
• Collaborate with developers, data scientists, and product owners to clarify acceptance criteria and non-functional requirements.
• Contribute to QA best practices, reusable test assets, and automation frameworks.

Required Qualifications:

• 3+ years of QA/testing experience, including 1–2 years testing Microsoft Power Platform solutions.
• Hands-on experience testing Power Automate workflows and data-centric applications.
• Working knowledge of Dataverse, connectors/custom connectors, Azure Databricks, and Azure Storage.
• Familiarity with Copilot Studio or chatbot testing methodologies (NLU, multi-turn flows, fallback handling).
• Strong understanding of software testing principles (test design, execution, defect lifecycle, reporting).
• Experience with API testing (REST) using Postman and/or scripted validation (Python preferred).
• Hands-on performance testing experience using JMeter or LoadRunner, including analysis and reporting.
• Ability to validate AI/ML outputs and collaborate with data teams on statistical checks and model behaviour.
• Basic understanding of designing prompts and edge cases to evaluate AI agent behaviour.
• Develop and maintain automation scripts for API testing, Regression test suites, Chat flow validation
• Build automated validation for chatbot responses using Pattern matching, Similarity scoring, Semantic validation (where applicable)

Preferred Qualifications:

• Microsoft Certifications in Power Platform or Data Analytics/AI.
• Experience in cloud-based testing environments (Azure preferred).
• Knowledge of accessibility, usability, and security testing.
• Exposure to CI/CD pipelines and integration of performance testing.
• Agile/Scrum project experience with Azure DevOps pipelines for Power Platform or Copilot deployments.
• Understanding of RAI principles
• Understanding of LLM-based systems, Prompt engineering basics, RAG architecture, Multi-agent workflows

Tools & Technologies:
• Azure DevOps
• Postman
• Selenium (Python automation)