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Principal QA Engineer - AI & Cloud ServicesAVEVA · 2 Locations
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AVEVA

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Principal QA Engineer - AI & Cloud Services

🗓️ Posted 2026-08-13 2 Locations Hybrid ICT
💰 Salary Not shared 📊 Market 5,417 GBP–7,500 GBP/mo

About the Company

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Principal QA Engineer - AI & Cloud Services Location: Hyderabad, Bangalore, India (Hybrid) Job Type: Regular, Full-Time Reports To: AI Senior Manager - CORE AI 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. You'll 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.

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.
  • ● Defining Performance Metrics for AI services and testing for the same
  • ● Awareness of AI safety, bias detection, and explainability techniques.
  • ● Strong belief in ethical AI practices, transparency, and end-user trust.
  • ● Core Skills and Qualifications:
  • ● + 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.