Job Title: AI QA Test Lead Location: Cambridge - on-site 3 days a week Salary/Rate: £600-£680/day inside IR35 Start Date: Immediate Job Type: Contract Company Introduction We are looking for a detail-oriented and forward-thinking AI QA Test Engineer to ensure the quality, performance, and security of our Core AI Services for our client in the insurance sector. 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 the 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: 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 (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