Security Engineer

Our client is looking for a highly skilled Security Engineer (AI) to strengthen their cyber security posture across modern AI and cloud-native environments. The ideal candidate will have strong experience securing machine-learning systems, cloud infrastructure, data pipelines, APIs, and enterprise applications.

You will play a critical role in designing and implementing security controls for AI/ML models, LLM pipelines, data governance frameworks, and high-scale distributed systems., * Design, implement, and maintain security controls for AI/ML systems (LLMs, RAG pipelines, data lakes, MLOps environments).

• Secure end-to-end AI workflows including data ingestion, model training, validation, deployment, and monitoring.
• Conduct threat modelling for AI systems (model inversion, data poisoning, prompt injection, adversarial attacks).
• Implement API security, identity & access management (IAM), secrets management, and encryption standards.
• Build and automate security testing across cloud-native platforms (Azure, AWS, GCP).
• Monitor security incidents, vulnerabilities, and anomalies involving AI systems.
• Perform penetration testing and red-team exercises for AI models and cloud infrastructure.
• Develop policies for responsible AI, model governance, and compliance (GDPR, ISO27001, SOC2).
• Work closely with engineering, product, and data teams to embed security into architecture and development workflows.

Do you have experience in Splunk?, Do you have a Master's degree?, * 4+ years in Cyber Security, Cloud Security, or DevSecOps.

• Strong understanding of AI/ML systems, LLM architectures, vector databases, and MLOps pipelines.
• Experience with cloud platforms: Azure, AWS, or GCP.
• Hands-on experience with:
• Threat modelling (STRIDE, MITRE ATT&CK)
• Vulnerability management
• Secrets management (Vault, KMS, Key Vault)
• CI/CD pipelines
• API and microservices security
• Familiarity with securing AI workloads (LLM security, prompt injection defence, secure inference pipelines).
• Strong Python and/or security automation experience.
• Experience with identity and access security (OAuth2, SSO, Azure AD/Entra ID).

Desirable Skills

• Experience with data security frameworks (DLP, encryption, tokenisation).
• Security certifications: CISSP, CISM, CEH, Security+, AZ-500, CCSP.
• Experience with tools such as Datadog, Splunk, Snyk, Prisma Cloud, Wiz, etc.
• Knowledge of AI Safety, governance, and model risk management.