Role Overview
We are looking for a Senior AI Security Engineer to strengthen the security posture of artificial intelligence and machine learning systems. This role involves identifying vulnerabilities in AI models, protecting data integrity, and ensuring compliance with security best practices throughout the AI lifecycle.
Key Responsibilities
- Conduct security assessments of machine learning models and data pipelines
- Develop and enforce security controls for AI training and inference environments
- Collaborate with data science and platform engineering teams to integrate security into AI workflows
- Design protections against adversarial attacks, model inversion, and data leakage
- Evaluate third-party AI tools and frameworks for security risks
- Lead incident response efforts related to AI system breaches or anomalies
Qualifications
- Proven experience in securing machine learning systems or cloud-based AI platforms
- Strong understanding of cryptographic techniques, access controls, and model hardening
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face
- Experience with cloud security on platforms like AWS, Azure, or GCP
- Knowledge of regulatory standards affecting AI deployments, including data privacy laws
Preferred Background
- Previous work securing production-scale AI applications
- Track record of publishing or presenting on AI security topics
- Active participation in AI security research or open-source communities
