JD:
About the Opportunity
Our client, a leading global investment institution, is looking for an experienced Enterprise Cybersecurity Engineer to drive the secure adoption of AI technologies across the organisation.
This is a rare opportunity to work at the intersection of Cybersecurity, Cloud, AI and Platform Engineering, designing and implementing enterprise-grade security solutions for modern AI platforms and next-generation technologies.
Key Responsibilities
- Design, build and enhance enterprise cybersecurity platforms with a focus on AI security.
- Evaluate and implement new security technologies through proof-of-concept and proof-of-value initiatives.
- Develop secure AI operating models, architecture documentation and engineering standards.
- Partner with technology, infrastructure and business teams to deliver secure-by-design AI solutions.
- Provide technical leadership on AI security engineering, cloud security and enterprise cybersecurity architecture.
Requirements
- 10+ years of experience in Cyber Security or Information Security, preferably within financial services or large enterprise environments.
- Hands-on experience securing AI or machine learning platforms, including technologies such as LLMs, Generative AI or AI security frameworks.
- Experience implementing AI security controls, including AI Guardrails, AI Red Teaming or AI model security.
- Exposure to Databricks, AWS SageMaker, Bedrock, Azure ML or similar AI platforms.
- Experience working with Large Language Models (LLMs) such as GPT, Claude or Llama.
- Strong programming skills in Python, Java, C++ or similar languages, with experience integrating REST APIs.
- Strong cloud security knowledge across AWS, Azure and/or Google Cloud.
- Excellent communication, stakeholder management and technical documentation skills.
If this opportunity aligns with your experience, I'd love to have a confidential discussion. Please send your updated CV to [Confidential Information], and I'll be in touch.
