AI Quality Engineer
Location: Singapore
About the Role
Key Responsibilities
- Design and execute quality engineering strategies for AI agents, copilots, intelligent workflows, and Human + Agent operating models.
- Validate agent outputs, prompt behavior, hallucination risks, regression impacts, and business process accuracy.
- Develop AI testing frameworks, evaluation datasets, acceptance criteria, and risk-based quality gates.
- Build and maintain automated regression suites for AI-enabled enterprise applications and workflows.
- Test integrations and end-to-end user journeys across platforms such as SAP, Salesforce, ServiceNow, SuccessFactors, mobile applications, and enterprise systems.
- Partner with Product Managers, Solution Architects, Agentic Engineers, and AgentOps teams to ensure AI solutions are safe, reliable, auditable, and production-ready.
Required Qualifications:
- Proven experience in QA Automation and test automation frameworks.
- Experience testing APIs, integrations, and enterprise applications.
- Proficiency in Playwright, TypeScript, and/or Python.
- Experience developing automated test strategies, regression suites, and quality assurance processes.
- Strong analytical and problem-solving skills with attention to quality and risk management.
Preferred Qualifications
- Experience testing AI, Generative AI, copilots, agents, or intelligent automation solutions.
- Knowledge of prompt evaluation, hallucination detection, model validation, and AI quality metrics.
- Experience with CI/CD pipelines, DevOps, or Quality Engineering practices.
- Familiarity with SAP, Salesforce, ServiceNow, SuccessFactors, or other enterprise platforms.
- Experience working in Agile product development or managed services environments.
Singapore
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