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Niche AI+cloud QA role and seniority reduce competition despite metro location.
Specialized AI evaluation and cloud-native QA create strong industry-specific experience requirements.
Explicit 12+ years, mandatory AI/cloud experience, Azure, and security requirements increase filtering.
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Lead functional, performance, and security testing of cloud-native AI services on Microsoft Azure, including automated test suite design for APIs and AI pipelines.
Automate evaluation of AI outputs to ensure accuracy, safety, and regulatory compliance including traceability, fairness, and robustness.
Collaborate with developers and data scientists in defining quality metrics and perform security validations including threat modelling; mentor junior testers to foster innovation.
12+ years in software testing or QA for cloud-native applications with at least 2 years focused on AI/ML systems or services.
Proficiency in automated testing frameworks, Azure DevOps, CI/CD pipelines, containerized environments.
Strong skills in API testing, performance profiling, and security testing (OWASP Top 10).
Work Experience Required: 12+ years in software testing including 2+ years in AI/ML; Location: Hyderabad or Bangalore hybrid; Notice period: Not explicitly mentioned in the JD.
Experienced in validating AI services especially large language models with expertise in LLM evaluation, prompt engineering, hallucination detection, and AI safety techniques.
Strategic problem-solver comfortable in Agile, global R&D environments working closely with cross-functional teams including data scientists and architects.
Demonstrates leadership through mentoring and continuous improvement mindsets, and understands regulatory AI frameworks to align testing and compliance efforts.