Cyber Security Engineer I

About This Opportunity

We are representing a confidential fintech organization seeking a Cyber Security Engineer I to join their London team. Our client is at the forefront of AI adoption and needs someone who can bridge the gap between cyber security and emerging AI technologies. This is a hands-on role where you'll help shape how a global payments platform secures AI tools, models, data pipelines, and supporting infrastructure.

Responsibilities

• Design and implement security controls for AI and machine learning solutions, including LLM-based applications, model integrations, and supporting cloud infrastructure
• Assess security, privacy, and compliance risks associated with AI systems, including model misuse, prompt injection, data leakage, insecure plugins, over-permissioned access, and third-party AI services
• Develop standards, guardrails, and reference architectures for the secure use of AI across the organisation
• Review AI use cases, architectures, and deployments to ensure alignment with cyber security policies, regulatory requirements, and internal governance expectations
• Build and maintain monitoring, detection, and response capabilities for AI-related threats and misuse scenarios
• Identify opportunities to use AI to enhance cyber security operations, such as alert triage, threat analysis, playbook automation, knowledge retrieval, and workflow optimisation
• Stay current on evolving risks, attack techniques, regulations, and industry practices related to AI security and AI governance (in line with EU AI Act, ISO42001)

What We're Looking For

• Experience in cyber security engineering, security architecture, or a related security role
• Strong understanding of core security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response
• Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks
• Experience securing cloud environments and modern development workflows in platforms such as AWS, Azure, or GCP
• Familiarity with security risks relevant to AI systems, including prompt injection, data exfiltration, insecure model access, supply chain risks, model poisoning, and sensitive data exposure
• Experience conducting architecture reviews, threat modelling, and security assessments for complex technical solutions
• Ability to translate technical risk into clear, practical guidance for both engineering and non-technical stakeholders
• Strong collaboration skills and the ability to work across cyber security, engineering, data, legal, and business teams
• A proactive mindset, with the ability to operate in a fast-moving area where standards and best practices continue to evolve

How We Work With You

As your recruiting partner, we manage the entire process on your behalf. When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your background and ensure fit. We then present qualified candidates to our client for consideration. Please do not contact the client directly, as all communication flows through our recruiting team to ensure a professional and organized process.

Location and Working Arrangement

This role is based in London with a hybrid working model requiring three days per week in the office to support collaboration and connection.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure our recruitment process is accessible to everyone.