Principal QA Engineer

3 days ago

Bengaluru Hyderabad, India Aveva Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Reports To: R&D Senior Manager - AI Core Services Development

We are looking for detail-oriented and forward-thinking Test Engineer to ensure the quality, performance, and security of our Core AI Services within AVEVA Connect. You will help validate distributed, cloud-native services and public APIs that form the foundation for enterprise AI capabilities. This role demands deep technical skill and a passion for delivering robust, secure, and ethical AI services at scale.

Youll be a part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools - with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up.

Key Responsibilities:

  • Perform functional, performance, and security testing on cloud-native services deployed on Microsoft Azure.
  • Design and implement automated test suites for APIs, service components, and AI pipelines.
  • Automate the evaluation of AI system outputs to ensure accuracy, consistency, and safety of responses.
  • Collaborate with developers and data scientists to establish service-level quality metrics and observability hooks.
  • Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes.
  • Participate in threat modelling and security validation of exposed APIs and AI services.
  • Provide feedback early in the lifecycle to reduce defects and improve design.
  • Mentor junior testers, encourage continuous learning, and contribute to a culture of innovation.

AI & Cloud Expertise

  • Familiarity with LLM evaluation techniques, output scoring, and validation frameworks.
  • Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection.
  • Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations
  • Defining Performance Metrics for AI services and testing for the same
  • Awareness of AI safety, bias detection, and explainability techniques.
  • Experience ensuring compliance with AI regulations and standards (e.g., NIST AI RMF, EU AI Act).
  • Strong belief in ethical AI practices, transparency, and end-user trust.

Core Skills and Qualifications:

  • 8+ years of experience in software testing or QA for cloud-native applications, including 2+ years working on AI/ML systems or services.
  • Proficient in designing automated testing frameworks
  • Hands-on experience with Azure DevOps, CI/CD pipelines, and containerized test environments.
  • Strong understanding of API testing, performance profiling, and security testing (including OWASP top 10).
  • Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
  • Experience working in Agile teams and collaborating across global R&D locations
  • Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation

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