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SME - IT security

HCLTech
Leeds, GBR
Onsite
Discovered 2 weeks ago
AI security engineeringLarge language model securityGenerative AI securityAI red teamingThreat modelingVulnerability assessment and security testing

Full Job Posting

Role overview

The Cyber Security team seeks an AI Security Engineer to secure AI, machine-learning and generative AI solutions across enterprise environments.

The role supports security controls for LLMs, AI applications and intelligent automation platforms.

The role partners with data scientists, AI engineers, architects and security teams throughout the AI lifecycle.

The posting lists two openings and a ten-month duration.

Responsibilities

  • Assess and threat-model AI and machine-learning solutions.
  • Conduct AI red-team exercises to find vulnerabilities in LLMs, AI models and AI-driven applications.
  • Design and implement AI security controls, guardrails and monitoring.
  • Secure AI development environments, CI/CD pipelines and deployment processes.
  • Collaborate with engineering teams on secure configuration management.
  • Support AI governance through security standards, risk controls and compliance requirements.
  • Analyze security data and emerging threats to improve security posture and resilience.
  • Contribute to security automation, AI security innovation and enterprise cyber resilience.
  • Help ensure AI systems comply with security, privacy and governance requirements.

Required qualifications

  • Strong understanding of AI security engineering principles, frameworks and best practices.
  • Experience securing LLMs, foundation models and generative AI applications.
  • Knowledge of prompt injection, model theft, adversarial attacks, jailbreaks and data poisoning.
  • Hands-on experience in AI red teaming, threat modeling, vulnerability assessments and security testing.
  • Understanding of secure software development, CI/CD and DevSecOps.
  • Experience with cloud security, identity management, encryption, monitoring and security automation.
  • CISSP or equivalent security certification is required.
  • CCSP or equivalent cloud security certification is required.
  • Demonstrated AI security, application security or cybersecurity engineering experience.
  • Experience with cloud-based AI, machine-learning or data-science environments.

Preferred qualifications

  • CEH, OSCP, Microsoft SC-100, AZ-500, AWS or Google cloud security certifications are good to have.
  • AI governance, responsible AI, machine-learning security, generative AI, threat-intelligence, penetration-testing or security-architecture certifications are also listed as good to have.
  • Experience securing AI agents and machine-learning pipelines is highly preferred.
  • Experience building secure AI development environments and automated security controls is advantageous.

Location

  • The job summary lists the location as UK or offshore.

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