Senior AI Security Engineer — Secure AI/ML Lifecycles

Netrolynx AI; United Kingdom; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Paid time off

Professional development

Job summary

Vbeyond is seeking an experienced AI Security Engineer to secure AI, ML, Generative AI solutions across enterprise environments. You will embed security controls throughout the AI lifecycle, defending LLMs, foundation models and data pipelines while strengthening safeguards for AI-enabled applications.

The role requires 8+ years in cybersecurity and AI security, with hands-on experience in AI model security, red teaming, threat modeling, vulnerability assessments, and secure CI/CD pipelines.

Qualifications

• 8+ years in cybersecurity and AI security engineering.
• Strong understanding of AI/ML lifecycle security risks.
• Hands-on with securing LLMs, foundation models and Generative AI.

Responsibilities

• Perform security assessments and threat modeling for AI/ML/LLM solutions.
• Design and implement AI security controls, guardrails and monitoring.
• Conduct AI red-team exercises including prompt injection, jailbreaks and adversarial attacks.
• Secure the AI lifecycle from development to deployment and operations.
• Embed security in AI CI/CD pipelines and configuration management.
• Collaborate with data scientists, AI engineers, governance and risk teams.
• Define AI security standards and control requirements for governance.
• Analyze emerging AI threats and strengthen defensive testing methodologies.
• Support responsible and secure AI adoption across enterprise environments.

Skills

AI security

Cybersecurity

Threat modeling

Security testing

DevSecOps

CI/CD pipelines

Scripting/Automation

Education

CISSP

CCSP

CISM

Tools

Microsoft Azure

AWS

Google Cloud

Job description

Vbeyond is seeking an experienced AI Security Engineer to secure AI, ML, Generative AI solutions across enterprise environments. You will embed security controls throughout the AI lifecycle, defending LLMs, foundation models and data pipelines while strengthening safeguards for AI-enabled applications.

The role requires 8+ years in cybersecurity and AI security, with hands-on experience in AI model security, red teaming, threat modeling, vulnerability assessments, and secure CI/CD pipelines.