At a Glance
- Tasks: Analyse AI systems for security, design robust guardrails, and assess third-party AI risks.
- Company: Leading digital consultancy with a focus on innovative financial services.
- Benefits: Competitive daily rate, hybrid working, and opportunity to work on cutting-edge AI projects.
- Other info: Urgent role with quick hiring process and excellent career advancement opportunities.
- Why this job: Join a fast-paced environment and make a significant impact on AI security.
- Qualifications: 5+ years in security architecture, experience with AI/ML systems, and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
My client, a leading digital consultancy, is currently looking to bring on an AI Security Architect to join a large financial services end client of theirs on an initial 6 month contract. This is an urgent role and will move quickly for the successful candidate.
- Proven experience analysing AI/ML systems and architectures from a security lens using established frameworks like OWASP Top 10 for LLMs, NIST AI RMF, or MITRE ATLAS.
- Demonstrated expertise in auditing, security-vetting, and assessing the risk profiles of external AI vendors and third-party AI APIs.
- Solid track record of proposing, designing, and architecting robust security guardrails to mitigate risks like prompt injection, data exfiltration, and model poisoning.
- Deep understanding of modern API security controls, authentication protocols (OAuth, IAM), and secure data-in-transit practices specifically for AI workloads.
- At least 5+ years of experience in core security architecture, threat modeling, and secure system design within an enterprise environment.
- Experience translating complex AI security risks into actionable business strategies and collaborating with engineering, legal, and compliance teams.
- Direct, practical experience implementing and configuring AI guardrail frameworks such as NeMo Guardrails, Llama Guard, or cloud-native security proxies.
- Hands-on experience securing and configuring AI tooling within Google Cloud Platform, including Vertex AI and Gemini API integrations.
- Practical knowledge of securing Azure OpenAI Service, Microsoft Copilot Studio, and managing associated Azure IAM and data governance controls.
- Familiarity with Anthropic’s developer platform, Claude models, and implementing enterprise-grade security controls for Anthropic API deployments.
- Familiarity with emerging global AI regulations and standards, such as the EU AI Act or ISO/IEC 42001, to ensure architectural compliance.
Security Architect (Hybrid Working) in City of London employer: Norton Blake
As a leading digital consultancy, our company offers an exceptional work environment that fosters innovation and collaboration, particularly for roles like the AI Security Architect. With a hybrid working model based in London, we provide competitive daily rates and a culture that prioritises employee growth through continuous learning and exposure to cutting-edge technologies. Join us to be part of a dynamic team that values your expertise in securing AI systems while contributing to meaningful projects within the financial services sector.
