Knowledgeable in using MCP servers, AI skills, and AI agents + Experience in validating models, data, and end-to-end workflows/integrations (APIs, databases, pipelines) using data/model validation plus integration, E2E, and regression testing, including handling non-deterministic outputs and real-world/edge/failure scenarios + Experience in assessing AI quality attributes (accuracy, precision/recall, relevance, bias/fairness, robustness/consistency), data quality (completeness, correctness, representativeness, drift, label quality), plus safety/explain ability/guardrails and performance (latency, scalability, reliability) + Experience with cloud computing (AWS/Azure) + Familiar with containerization using Docker/Podman/Kubernetes + Strong analytical and troubleshooting skills with attention to detail **Hazardous Working Conditions/Environment** Not applicable. **What You'll Do** _Test Strategy, Planning, and Coverage_ + Design, develop, document, execute, and debug test strategies for new and existing software systems, applications, and hardware/software interfaces, applying QA best practices + Collaborate with cross-functional teams across the full development lifecycle to analyze user needs and requirements; translate requirements into test plans, test cases, traceability, and acceptance criteria + Ensure comprehensive functional, integration, system, regression, and performance coverage using risk-based approaches and clear release criteria + Produce high-quality test reports and quality summaries that communicate coverage, results, and risk _Test Automation, Manual Validation, and CI/CD_ + Build and maintain automated and manual test solutions across API, UI, integration, end-to-end, and regression layers + Implement automated tests using Cypress.io,