Engineering

Senior QA Lead – AI & Automation (10+ Years)

Pune, Maharashtra
Work Type: Full Time
Job Description: Senior QA Lead – AI & Automation (10+ Years)
Role Overview
We are looking for a Senior QA Lead with strong expertise in AI-based application testing and API automation to lead quality initiatives across our AI-driven products, including a Meeting Assistant (Agentic AI) and Legal SDL platform. This role will drive QA strategy, ensure high-quality releases, and build scalable automation frameworks.

Key Responsibilities
•           Define and own the overall QA strategy across AI-driven products
•           Lead end-to-end testing for Agentic AI systems (meeting assistant, conversational workflows)
•           Drive API-first automation strategy and ensure high test coverage
•           Validate AI/ML components including prompts, responses, and model behavior
•           Establish test frameworks, CI/CD integration, and quality gates
•           Collaborate with Product, Engineering, and AI teams to ensure testability and quality
•           Manage test planning, execution, reporting, and release sign-offs
•           Mentor QA engineers and build a high-performing QA team
•           Define metrics, dashboards, and quality KPIs

Required Skills & Experience
•           10+ years of experience in Software QA / Testing
•           Strong expertise in API Automation (Postman, RestAssured, PyTest, etc.)
•           Hands-on experience in UI Automation (Selenium, Playwright, Cypress)
•           Experience in AI/ML testing (LLMs, chatbots, conversational AI)
•           Understanding of:
o          Prompt validation & response evaluation
o          Hallucination detection
o          Model output validation
•           Strong knowledge of test management practices and tools (JIRA, qTest, TestRail, ADO)
•           Experience in CI/CD pipelines (Jenkins, GitHub Actions, etc.)
•           Strong debugging and root cause analysis skills

Good to Have
•           Experience with Agentic AI systems
•           Exposure to NLP / LLM evaluation frameworks
•           Performance testing of AI systems
•           Knowledge of cloud platforms (AWS/Azure)

Leadership Expectations
•           Ability to own QA delivery across multiple products
•           Strong stakeholder communication
•           Proactive quality ownership and decision-making

Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.

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