Cyber Security Architect

Cyber Security Architect at Knutsford, UK – 3 days per week Onsite

• Expert knowledge in at least one industry‑leading AI/GenAI security platform or framework, including tools for model governance, data privacy, and risk mitigation—such as Azure AI Security, AWS AI Guardrails, Google Vertex AI Security, IBM Watson Open Scale, or equivalent solutions.

• As an experienced AI Security Engineer, you will play a critical role in advancing our data and AI security capabilities across the organisation. You will help shape the next generation of our data security platform, driving innovation, resilience, and automation r expertise will expand the product roadmap, enhance our security posture, and ensure we proactively identify, mitigate, and respond to risks associated with both traditional data systems and emerging GenAI technologies.
• In this role, you will combine practical engineering experience with deep knowledge of Data Security, AI Security, and cloud‑native security practices. Your work will draw on insights from enterprise scanning across Data Loss Prevention (DLP), Data Privacy and Protection, GenAI specific, SIEM (Security Information and Event Management), and vulnerability management security controls.

• Drive enhancements to the AI/GenAI security platform and scanning infrastructure, ensuring alignment with strategic goals and approved budgets.
• Work alongside engineers to contribute to Design, build, and optimise cloud‑native Data & GenAI Security services.
• Support stakeholders in leveraging and adopting the latest Data & GenAI Security cloud‑native application architectures.
• Ensure all Data Security architecture and cloud infrastructure accommodates the latest security and software lifecycle patterns.
• Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure.
• Hands on expertise with core cybersecurity technologies, such as firewalls, SIEM platforms, IDS/IPS, and related security tooling.
• Proficiency in Python, with the ability to develop automation, security tooling, and data driven scripts.
• Strong understanding of secure software development practices, including OWASP principles and Dev Sec Ops  methodologies integrated into CI/CD workflows.
• Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure.
• Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (e.g., PyTorch, Scikit learn, Lang Chain) — considered a strong advantage.

• Conduct regular threat assessments to identify vulnerabilities in AI/ML systems.
• Develop benchmarks, tools and scripts to automate vulnerability testing for AI/ML applications.
• Perform code reviews and penetration testing of AI‑related software.

• Stay updated on emerging trends, technologies, and best practices in AI/ML security.
• Execute PoCs/PoVs to evaluate emerging trends, technologies and practices in the industry.
• Create high quality technical documentation and user guides.
• Contribute to the development of cutting‑edge AI/ML security tools and techniques.

• Risk Management and working experience and understanding different delivery methods, e.g. Scrum, Kanban, JIRA, Agile etc Experience in working end to end with software development life cycles.
• 5+ years in Dev Ops, Security Engineering, or Infrastructure roles.
• Previous experience in the financial/regulated sector.
• Bachelor’s degree (or higher) in a related discipline.
• Certified GenAI and LLM Cybersecurity Professional (CGLCP).
• Certified GenAI and LLM Cybersecurity Professional – Security Professionals (CGLCP SP).
• CISSP (Certified Information Systems Security Professional.