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Principal QA Engineer - AI & Cloud Services

Principal QA Engineer - AI & Cloud Services

Aveva

8 - 13 years

22 - 27 Lacs

hyderabad bengaluru

Posted:1 day ago| Platform:

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Skills Required

automation test framework artificial intelligence performance appraisal security testing api testing continuous integration cloud services software testing owasp ci/cd microsoft azure azure devops java quality assurance devops nativescript agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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Principal QA Engineer - AI & Cloud Services