We are looking for an experienced AI Validation Tester with a minimum of 5+ years of relevant experience. The ideal candidate should have strong expertise in GxP, Computer System Validation (CSV), regulatory standards, and the validation of AI/ML solutions. The candidate should have a strong understanding of risk-based validation approaches, regulatory compliance, and testing methodologies for AI solutions in regulated environments.

Key Responsibilities
• Perform functional, integration, regression, and validation testing for GxP-regulated applications and AI-enabled solutions.
• Develop and execute test cases, test scenarios, test scripts, and validation protocols.
• Support CSV/GxP validation activities, including requirements traceability, test evidence, defect management, and validation documentation.
• Test and validate RPA/automated business processes, including workflows, exceptions, and integrations.
• Evaluate AI/GenAI outputs for accuracy, consistency, relevance, and expected behavior.
• Identify, document, and track defects using Jira and qTest.
• Work closely with QA, IT, business, validation, and AI teams in an Agile/Scrum environment.
• Ensure compliance with GxP, data integrity, audit trail, and applicable regulatory requirements. Preferred / Good-to-Have Skills




• 5+ years of functional software testing experience.
• RPA knowledge and testing experience – mandatory.
• Robust knowledge of GxP and CSV.
• Knowledge of risk-based validation methodologies and modern CSV approaches.
• Experience in pharmaceutical/life sciences manufacturing.
• Strong Agile/Scrum experience.
• Hands-on experience with Jira and qTest or similar test management tools.
• Experience with Microsoft Copilot or other enterprise generative AI/AI productivity solutions.
• Exposure to Generative AI, Large Language Models (LLMs), prompt engineering, and AI response evaluation.
• Experience validating AI solutions for accuracy, consistency, relevance, hallucination, bias, and inappropriate responses.
• Knowledge of AI governance, model risk management, or responsible AI principles.
• Support AI risk assessments, model verification, bias testing, explainability testing, performance monitoring, and AI lifecycle governance.
• Experience working with systems involving electronic records, electronic signatures, audit trails, and data integrity controls.
• Experience supporting internal and external regulatory audits/inspections.

📌 AI Validation Tester (India)
🏢 Cygnus Professionals
📍 India