AI Security Engineer

Job Summary

ob 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.

Key Responsibilities

erform 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.

Skill 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. ________________________________________ 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

Other Requirements

Additional Context • 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.