At a Glance
- Tasks: Analyse AI systems for security, design robust guardrails, and assess vendor risks.
- Company: Leading digital consultancy with a focus on innovative financial services.
- Benefits: Competitive daily rate, hybrid work model, and fast-paced environment.
- Other info: Urgent role with quick hiring process and opportunities for impactful work.
- Why this job: Join a cutting-edge team tackling AI security challenges in a dynamic industry.
- Qualifications: 5+ years in security architecture and experience with AI/ML systems.
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) in City of London employer: Norton Blake
As a leading digital consultancy, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our London-based team offers competitive compensation, flexible hybrid working arrangements, and ample opportunities for professional growth in the rapidly evolving field of AI security. Join us to make a meaningful impact while working alongside industry experts in a supportive environment that values your contributions.
