Job Summary

Job Description - AI Security Engineer Function: CSO Role: AI Security Engineer Hiring Managers: Louise Furniss / Julie Wilson Grade: E/F Location: UK / Offshore Open Positions: 2 Duration: 10 Months ________________________________________ Job Summary • Join the Cyber Security team to secure AI, Machine Learning, and Generative AI solutions across enterprise environments. • Support the design and implementation of security controls for Large Language Models (LLMs), AI applications, and intelligent automation platforms. • Partner with data scientists, AI engineers, architects, and security teams to embed security throughout the AI lifecycle. • Drive AI governance initiatives by implementing guardrails, risk controls, and responsible AI security practices. • Assess emerging AI threats and help strengthen defenses against adversarial attacks, prompt injection, data poisoning, and model misuse. • Contribute to AI security innovation, security automation, and enterprise cyber resilience programs. • Ensure AI systems are developed and operated in compliance with security, privacy, and governance requirements.

Technical Certification Need to Have and Good to Have Need to Have • CISSP (Certified Information Systems Security Professional) or equivalent security certification. • CCSP (Certified Cloud Security Professional) or equivalent cloud security certification. • Demonstrated experience in AI security, application security, or cyber security engineering roles. • Knowledge of secure software development lifecycle (SSDLC) and DevSecOps practices. • Experience working with cloud-based AI, Machine Learning, or data science environments. Good to Have • Certified Ethical Hacker (CEH). • Offensive Security Certified Professional (OSCP). • Microsoft Certified: Cybersecurity Architect Expert (SC-100). • Microsoft Azure Security Engineer Associate (AZ-500). • AWS Certified Security Specialty or Google Professional Cloud Security Engineer. • Certifications in AI Governance, Responsible AI, Machine Learning Security, or Generative AI technologies. • Certifications related to threat intelligence, penetration testing, cloud security, or security architecture  

Key Responsibilities

Perform security assessments and threat modeling for AI and Machine Learning solutions. • Conduct AI Red Team exercises to identify vulnerabilities in LLMs, AI models, and AI-driven applications. • Design and implement AI security controls, guardrails, and monitoring capabilities. • Secure AI development environments, CI/CD pipelines, and deployment processes. • Collaborate with engineering teams to implement secure configuration management practices. • Support AI governance programs by establishing security standards, risk controls, and compliance requirements. • Analyze security data and emerging threats to continuously improve AI security posture and resilience.

The role requires expertise in AI Security Engineering, AI Governance, AI Red Teaming, and LLM Security. • Candidates with experience securing Generative AI platforms, AI agents, and machine learning pipelines will be highly preferred. • Strong understanding of security controls for AI model development, deployment, and monitoring is desirable. • Experience building secure AI development environments and automated security controls will be an advantage. • The position offers an opportunity to contribute to the evolution of enterprise AI security capabilities and responsible AI adoption strategies. 

Skill Requirements

Perform security assessments and threat modeling for AI and Machine Learning solutions. • Conduct AI Red Team exercises to identify vulnerabilities in LLMs, AI models, and AI-driven applications. • Design and implement AI security controls, guardrails, and monitoring capabilities. • Secure AI development environments, CI/CD pipelines, and deployment processes. • Collaborate with engineering teams to implement secure configuration management practices. • Support AI governance programs by establishing security standards, risk controls, and compliance requirements. • Analyze security data and emerging threats to continuously improve AI security posture and resilience.

Other Requirements

Strong understanding of AI Security Engineering principles, frameworks, and industry best practices. • Experience securing Large Language Models (LLMs), foundation models, and Generative AI applications. • Knowledge of AI attack techniques including prompt injection, model theft, adversarial attacks, jailbreak attempts, and data poisoning. • Hands-on experience in AI Red Teaming, threat modeling, vulnerability assessments, and security testing. • Strong understanding of secure software development, CI/CD pipelines, and DevSecOps methodologies. • Experience with cloud security, identity management, encryption, security monitoring, and security automation. • Strong analytical, problem-solving, communication, and stakeholder management skills.