This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI and Cloud Security Engineer based in United Kingdom.
We are seeking a highly skilled security engineer to design, implement, and operate advanced security controls across AI platforms and multi-cloud environments. This role focuses on protecting emerging AI technologies by building runtime security capabilities, improving threat detection, and strengthening cloud security architectures. You will play a key role in securing AI applications, infrastructure, and data while helping organizations adopt AI safely at scale. The position combines hands-on engineering, automation, incident response, and strategic security initiatives across Azure, AWS, and GCP environments. You will collaborate with security leaders, architects, developers, and operations teams in a globally distributed environment. This is an opportunity for a security professional passionate about AI innovation, cloud protection, and building next-generation cybersecurity solutions.
Accountabilities:
- Design, build, and operate AI security runtime controls, including AI gateways, data protection mechanisms, intent-based enforcement, and security monitoring capabilities across AI platforms.
- Develop and maintain security solutions protecting AI interactions, large language models, agent workflows, tools, and model-based applications across multiple cloud environments.
- Configure and optimize AI security policies, including prompt injection prevention, jailbreak protection, PII detection, data masking, tool validation, and agent access controls.
- Continuously improve security defenses by analyzing adversarial testing results, updating detection logic, and tuning runtime policies to reduce risks while maintaining usability.
- Act as a senior escalation point for complex AI security incidents, including prompt injection attacks, data exfiltration, agent manipulation, RAG poisoning, and model-related threats.
- Perform advanced investigations, root-cause analysis, and security response activities while supporting automated containment strategies.
- Evaluate and integrate AI security technologies through technical assessments, proofs of concept, and vendor evaluations.
- Engineer and maintain cloud security controls across Azure, AWS, and GCP, including security posture management, identity controls, Kubernetes security, and workload protection.
- Implement secure cloud architectures following zero-trust principles, least-privilege access models, and strong identity governance practices.
- Embed security into DevSecOps processes through Infrastructure-as-Code scanning, container security, secrets management, CI/CD security controls, and automated testing.