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. 

Essential Requirements 

• 5+ experience in software testing, QA, or validation roles for cloud-native applications using Microsoft and .NET technologies. 

• 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. 

• Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. 

• Experience of testing stochastic systems. 

Core Skills and Qualifications: 

• 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 

• 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. 

R&D at AVEVA  

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. 

Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.