Negotiable
Undetermined
Onsite
Cambridge, England, United Kingdom
Summary: The Principal Engineer, Test for AI Core Services Development is responsible for ensuring the quality and performance of cloud-native services deployed on Microsoft Azure. This role involves designing automated test suites, collaborating with developers and data scientists, and validating services against AI regulatory frameworks. The position also emphasizes mentoring junior testers and fostering a culture of innovation within the team.
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.
- 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.
- 12+ years of 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 analyze 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.
Key Skills:
- 12+ years of 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 analyze 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.
- 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.
Salary (Rate): undetermined
City: Cambridge
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Principal Engineer, Test – AI Core Services Development
Work Location: Cambridge, UK (3 Days Onsite )
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, 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 analyze 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