Cloud/AI Security Engineer

Salary: £42,000 - 82,000 per year

Requirements

• Strong background in cloud security engineering, ideally with deep experience on AWS; Azure exposure is highly beneficial.
• Hands-on experience or working exposure in securing LLM/AI workloads, including model deployment, data flows, and runtime considerations.
• Proficiency with cloud-native security tooling (CSPM, CWPP, secrets management, logging/monitoring, container security).
• Experience securing IaC and CI/CD pipelines using tools such as Terraform, CloudFormation, GitHub Actions, GitLab, or similar.
• Knowledge of IAM design, network security controls, encryption, secrets management, and cloud identity principles.
• Understanding of modern cloud architectures (serverless, microservices, managed AI/ML services) and their associated security risks.
• Ability to collaborate effectively with AI engineers, developers, and cloud teams to ensure secure implementation of AI workloads.
• Experience securing GenAI, Agentic AI, vector databases, model APIs, or data pipelines used by LLMs (desirable).
• Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection) (desirable).
• Background working in regulated industries such as Financial Services or Insurance (desirable).
• Strong stakeholder communication skills, including the ability to influence engineering teams and articulate cloud/AI security risks clearly (desirable).

Responsibilities

• Deliver cloud security engineering capability focused on securing AI, LLM, and cloud-native workloads, with AWS as the primary environment and Azure as a secondary platform.
• Implement secure cloud architectures and controls, ensuring AI/LLM workloads comply with organisational security standards and cloud security policies.
• Work with architects and AI engineering teams to define secure patterns for LLM deployments, AI agents, and model pipelines across cloud environments.
• Engineer and operationalise cloud-native security tooling, including IaC security, secrets management, container security, and monitoring solutions.
• Integrate security controls into CI/CD pipelines and modern development workflows, enabling secure and automated deployment of cloud and AI workloads.
• Participate in threat modelling, risk assessment, and security design reviews for AI applications, APIs, and cloud services.
• Support evaluation and onboarding of emerging AI security tools and cloud-native security capabilities, contributing to technology selection and capability uplift.

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• GitHub
• GitLab
• IAM
• Support
• LLM
• Network
• Security
• Serverless
• Terraform
• microservices

More

We are looking for a Cloud Security Engineer focused on Cloud/AI (LLM Security) to join our team in Norwich or London. This hybrid role offers the flexibility of working three days in the office and two days remotely, providing a collaborative environment aimed at securing cutting-edge AI and cloud-native workloads. We value expertise and innovative thinking while supporting your professional development in this rapidly evolving field.

last updated 17 week of 2026