Job Description
About the Role
We are looking for a skilled AI Security Engineer to protect AI/ML systems, models, data, and applications from security threats. The role involves implementing security controls, identifying AI-specific risks, and ensuring secure and responsible deployment of AI solutions.
Key Responsibilities
Secure AI/ML models, LLMs, APIs, and AI applications.
Identify and mitigate AI-specific security threats and vulnerabilities.
Implement security controls for AI systems, data, and cloud infrastructure.
Protect AI applications against prompt injection, data leakage, model abuse, and adversarial attacks.
Conduct security testing, vulnerability assessments, and risk analysis.
Implement IAM, encryption, access control, logging, and monitoring.
Develop security policies and best practices for AI/ML systems.
Collaborate with AI/ML, Cloud, DevOps, and Security teams.
Ensure compliance with organizational and industry security standards.
Experience
2-5+ years of experience in Cybersecurity, AI Security, Cloud Security, or related fields.
Hands-on experience securing AI/ML or cloud-based applications is preferred.
Required Skills
Strong knowledge of Cybersecurity, AI/ML, LLMs, and Generative AI.
Understanding of OWASP, AI security risks, Prompt Injection, Adversarial ML, and Data Privacy.
Experience with AWS/Azure/GCP security.
Knowledge of IAM, encryption, API security, SIEM, vulnerability assessment, and threat modeling.
Strong analytical, problem-solving, and communication skills.
Qualification
Bachelor’s/Master’s degree in Cybersecurity, Computer Science, AI/ML, IT, or a related field.