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Strong employer brand and metro location increase competition, but high GenAI specialization moderates density.
Role requires specialized GenAI testing and QA expertise, making cross-industry transferability limited.
Extensive mandatory technical skills, leadership expectations, and governance requirements indicate strict filtering.
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Design, develop, and execute comprehensive test plans and automated test scripts for Gen AI software to ensure quality and reliability across functionality, performance, and user experience.
Lead complex testing initiatives involving Large Language Models, Generative AI, and Agentic AI in enterprise cloud environments, collaborating cross-functionally to drive quality initiatives and governance.
Advise on operational effectiveness, influence decision-making, and lead or guide teams on quality assurance and testing strategy aligned with Agile/DevOps methodologies.
Expert-level proficiency in Large Language Models (LLM), LangChain, LangGraph, and advanced Python programming for scalable test automation.
Deep experience with Generative AI architecture, Machine Learning model testing, NLU/NLP testing strategies, and AWS services (Bedrock, Lambda, CloudWatch).
Proven expertise in CI/CD pipelines (Jenkins, GitLab CI), version control (Git, Stash), Agile/Scrum, and test management tools (Jira, Xray, ALM, TestRail).
Location requirement: Pune; Work Experience Required: Not explicitly mentioned in the JD.
Senior-level technical professional capable of leading complex Gen AI testing projects involving multiple teams and technologies in a large enterprise setting.
Strong operational and strategic mindset with ability to influence stakeholders, implement governance, and drive quality standards across the organization.
Demonstrates deep domain expertise in enterprise cloud-based testing solutions for AI applications and familiarity with Agile/DevOps culture and practices.