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Ai security architect

Reading (Berkshire)
Queen Square Recruitment Limited
Security architect
Posted: 11 July
Offer description

Our client, a leading global organisation, is partnering with a prestigious end client based in Reading.We are excited to offer a fantastic opportunity for a talented AI Security Architect to join a dynamic and agile development teamon an initial 6-month contract, with the potential for extension. If you are interested and have the relevant skills and experience, please apply promptly to discuss further. Location: Hybrid 2 days onsite in Reading Duration: 6 months (with potential for extension) Rate: Inside IR35- Flexible The Role As an AI Security Architect, youll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt injection. Define access control, authentication, and encryption standards across platforms. Work with data scientists and engineers to embed security into model development. Stay current on evolving AI regulations (EU AI Act, NIST AI RMF, GDPR, etc.). Support adversarial testing, model bias assessments, and trustworthiness evaluations. Contribute to training and awareness initiatives on AI/ML security best practices. Act as a key stakeholder in AI-related incident response and mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on AI/ML security. Strong knowledge of AI/ML technologies, frameworks (e.g. TensorFlow, PyTorch), and threat landscapes. Background in development or data science is highly advantageous. Expertise in secure development practices and cloud-native architectures. Hands-on experience with threat modelling, adversarial testing, and CI/CD security. Familiarity with tools like Git, Kubernetes, and containerized environments. Working knowledge of relevant regulations and frameworks (EU AI Act, ISO 27001, etc.). Excellent stakeholder communication and collaboration skills. Desirable Experience working on large-scale data or AI projects in regulated sectors. Exposure to the MITRE ATLAS framework or similar AI threat knowledge bases. Esther Urtecho Senior Delivery Consultant London | Bristol | Amsterdam

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