Security Architect
Posted 1 day ago by Jobserve
Negotiable
Inside
Hybrid
Knutsford, Cheshire
Summary: The Security Architect role involves advancing data and AI security capabilities within an organization, focusing on the development and optimization of cloud-native security services. The position requires expertise in AI security platforms and a strong understanding of data security practices. The role is hybrid, with a significant emphasis on collaboration with engineering teams to enhance security measures. Candidates must be PAYE through an umbrella company and have a solid background in cybersecurity and DevOps.
Key Responsibilities:
- 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 optimize 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 life cycle patterns.
- 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.
- Manage risk and understand different delivery methods, e.g., Scrum, Kanban, JIRA, Agile, etc.
- Work end-to-end with software development life cycles.
- Leverage 5+ years in DevOps, Security Engineering, or Infrastructure roles.
Key Skills:
- Expert knowledge in at least one industry-leading AI/GenAI security platform or framework.
- Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems.
- Hands-on expertise with core cybersecurity technologies, such as Firewalls, SIEM platforms, IDS/IPS, and related security tooling.
- Proficiency in Python for developing automation, security tooling, and data-driven scripts.
- Strong understanding of secure software development practices, including OWASP principles and DevSecOps methodologies.
- Experience securing cloud and AI workloads on major cloud platforms such as AWS and Azure.
- Working knowledge of machine learning concepts and common AI/ML frameworks.
- Previous experience in the financial/regulated sector is desirable.
- Bachelor's degree (or higher) in a related discipline is preferred.
- Relevant certifications such as CISSP, AWS Certified AI Practitioner, or Certified GenAI and LLM Cybersecurity Professional.
Salary (Rate): £582/Day
City: Knutsford
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Detailed Description From Employer:
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: Security Architect
Location: Hybrid 60% office-40% remote
Client Technology Centre Radbroke, Knutsford WA16 9EU
Duration: 27/11/2026
Rate: £582/Day
MUST BE PAYE THROUGH UMBRELLA
Role Description:
- Technology platforms: 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 OpenScale, or equivalent solutions.
- Job Description: 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 at scale. Your 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.
Primary Responsibilities:
- 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 life cycle patterns.
Standard Technical Skills & Competencies:
- 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 DevSecOps 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 (eg, PyTorch, Scikit learn, LangChain) - considered a strong advantage.
Threat Analysis & Vulnerability Assessment:
- 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.
Research & Development:
- 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.
Additional experience:
- Risk Management and working experience and understanding different delivery methods, eg Scrum, Kanban, JIRA, Agile etc
- Experience in working end to end with software development life cycles.
- 5+ years in DevOps, Security Engineering, or Infrastructure roles.
Desirable:
- 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)
- AWS Certified AI Practitioner or
- CISSP (Certified Information Systems Security Professional
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.