AI Security Architect

Queen Square Recruitment Limited; Reading; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A prestigious client based in Reading is seeking an AI Security Architect to join their agile development team on a 6-month contract. The role involves designing and implementing vital security strategies for AI/ML systems and collaborating with cross-functional teams. Candidates should have proven experience in AI/ML security and strong knowledge of relevant technologies and threat landscapes.

Qualifications

• Proven experience as a Security Architect focused on AI/ML security.
• Strong knowledge of AI/ML technologies and secure cloud-native architectures.
• Hands-on experience with CI/CD security.

Responsibilities

• Architect and implement security controls for AI/ML systems.
• Conduct security risk assessments and threat modelling.
• Drive secure coding practices and support AI-related incident response.

Skills

AI/ML security

Secure development practices

Threat modelling

Adversarial testing

Stakeholder communication

Tools

Git

Kubernetes

Job 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 talentedAI Security Architectto 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, you’ll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. You’ll 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