Lead AI Security Consultant

About the role

We are seeking an innovative and security-driven AI Security Engineer to safeguard our artificial intelligence and machine learning (ML) ecosystems. You will bridge the gap between traditional cybersecurity and cutting-edge data science, designing secure deployment pipelines, implementing adversarial defenses, and protecting sensitive enterprise data against emerging AI-specific threats.

Responsibilities

• Lead threat modeling exercises for AI/ML systems to identify risks such as prompt injection, data poisoning, model evasion, and extraction attacks.
• Design and build reference architectures and reusable security patterns (e.g., sandboxing, policy enforcement) to integrate seamlessly with our agentic AI infrastructure.
• Ensure AI deployments adhere to established governance frameworks and industry standards.
• Implement privacy-enhancing technologies (PETs) and data integrity checks to secure datasets throughout the model training, fine-tuning, and inference lifecycle.

Requirements

• 3+ years of cybersecurity experience, with a focus on AI/ML security, application security, or MLOps.

Skills

• Hands-on experience with core ML and generative AI technologies (e.g., LLMs, transformer-based models, and RAG pipelines).
• Proficiency with security tools and platforms designed to monitor, audit, and secure AI models.