Principal QA Engineer - AI & Cloud Services
Aveva · Hyderabad · onsite · Posted 64d ago
Undisclosed7–11 yrsfulltimeSourced from
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About this role
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.
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:
- 12+ 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 RD locations
- Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation
Sourced from naukri
Skills
QADevopsPrototypingAgileScrumqa engineercloud servicesapisai servicescloud nativeSecurity Testingai modelTesting FrameworksEthical AiLarge Language Models (LLMs)software testingcloudAPI TestingcomplianceMicrosoft AzureArtificial Intelligence
About AVEVA
Aveva
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India
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