Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Principal QA Engineer - AI & Cloud Services
ICT
Company shared salary
NA
Market rate
5,417 GBP–7,500 GBP/mo (65,004 GBP–90,000 GBP/yr)
Based on similar roles (title + domain + location).
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.
⚡ Full Resume Sandbox Canvas