We are looking for a QA Lead with 8+ years of software testing experience and robust exposure to testing contemporary AI-powered applications. The candidate will own the overall testing strategy for AI applications, establish quality frameworks, define testing methodologies, and lead QA activities across functional, integration, API, performance, security, and AI-specific testing.

Key Responsibilities
Define and own the overall test strategy and quality framework for AI applications.
Establish test plans, testing methodologies, quality gates, and release criteria.
Define QA processes across the complete software development lifecycle.
Design test strategies for LLM, GenAI, RAG, and agentic AI applications.
Define approaches for AI-specific testing including: o Hallucination testing o Groundedness testing o Response relevance o Factuality o Consistency o Prompt robustness o Bias and safety testing o Guardrail testing o Agent/tool execution testing o Regression testing
Define AI evaluation datasets and test suites.
Establish automated evaluation and regression frameworks.




Review and approve test cases and test coverage.
Define functional, integration, API, performance, security, and usability testing approaches.
Establish defect management and root-cause analysis processes.
Work closely with AI developers, product managers, UX, DevOps, and engineering teams.
Define QA automation strategy and tooling.
Establish quality metrics and dashboards.
Lead QA reviews and mentor junior QA engineers.
Drive continuous improvement of testing processes.

Required Skills
8+ years of QA/testing experience.
Strong understanding of software testing methodologies.
Experience creating enterprise-level test strategies.
Robust experience with API, integration, functional, regression, and automation testing.
Experience testing AI/ML/GenAI applications.
Understanding of LLM evaluation and AI quality metrics.
Experience with test automation frameworks.
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📌 Quality Assurance Lead Hyderabad
🏢 Cloud Angles Digital Transformation
📍 Hyderabad