Sr. QA Lead
HTC Global Services • Mumbai City, Maharashtra, India
**Role & seniority: ** Senior QA Lead (QA Lead; 8+ years QA, 3+ years leading QA)
**Stack/tools: **
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Test automation: Selenium, Playwright, Cypress (or similar)
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API testing, CI/CD
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AI/ML testing and validation for AI SDLC (model/data governance)
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Cloud AI (preferred): Azure AI, AWS AI/ML, or Google Cloud AI
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Top 3 responsibilities:
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Define and drive QA strategy, test planning, and quality governance for AI/ML + enterprise apps
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Lead end-to-end testing: functional, integration, performance, automation, and AI-specific validation (e.g., model/data checks)
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Build test frameworks/automation and quality metrics across the AI SDLC; coordinate with Product, Engineering, Data Science, and MLOps
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Must-have skills:
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Strong QA leadership and technical background
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Expertise in test automation, API testing, and CI/CD
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Working knowledge of AI/ML concepts: data validation, model testing, bias/reliability, production readiness
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Agile/Scrum experience; ability to lead distributed teams
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Stakeholder management, communication, problem-solving
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Nice-to-haves:
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Experience testing Generative AI / LLM-based apps and AI workflows
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Hands-on familiarity with Azure AI / AWS AI/ML / Google Cloud AI services
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Location & work type: Not specified in the provided text.
Full Description
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.
