Job Description
About the Role:
We are looking for a
Senior QA Lead with a strong technical background and understanding of the
AI Software Development Life Cycle (AI SDLC) to lead quality engineering initiatives for AI-powered products and platforms.
Key Responsibilities
- Define and drive QA strategy, test planning, and quality governance for AI/ML and enterprise applications.
- Lead end-to-end testing across functional, integration, performance, automation, and AI-specific validation scenarios.
- Collaborate with Product, Engineering, Data Science, and MLOps teams to ensure high-quality AI solution delivery.
- Establish test frameworks, automation practices, and quality metrics across the AI SDLC.
- Validate model performance, data quality, bias, reliability, and production readiness.
- Mentor QA teams and drive continuous improvement in testing processes and tools.
Qualifications
- 8+ years of QA experience, with 3+ years in a QA Lead role.
- Strong expertise in test automation, API testing, CI/CD, and modern QA practices.
- Understanding of AI/ML concepts, data validation, model testing, and AI governance requirements.
- Experience working in Agile/Scrum environments and leading distributed teams.
- Excellent stakeholder management, communication, and problem-solving skills.
Preferred Skills
- Experience testing Generative AI, LLM-based applications, and AI-powered workflows.
- Familiarity with Azure AI, AWS AI/ML, or Google Cloud AI services.
- Hands-on experience with automation tools such as Selenium, Playwright, Cypress, or similar frameworks.
