AI Security Engineer

About the job

This is a remote position. Join Tsaaro as an AI Security Engineer Secure AI Systems. Mitigate Emerging Threats. Enable Responsible Intelligence. Are you a security engineer passionate about protecting AI systems, machine learning models, and data pipelines? Do you want to work hands-on with cloud-native AI environments while tackling next-generation security challenges? Tsaaro is looking for an AI Security Engineer to join our Information Security team and help secure AI/ML systems across their lifecycle. At Tsaaro, security and privacy are not afterthoughts — they are foundational. Our cybersecurity, GRC, and AI governance experts work together to deliver practical, scalable, and future-ready security solutions. Your Role: AI Security Engineer As an AI Security Engineer, you will work closely with data scientists, ML engineers, DevOps, and security teams to design, implement, and monitor security controls for AI systems. Your role will focus on identifying and mitigating AI-specific threats while enabling secure and compliant AI adoption. Key Responsibilities Design, implement, and maintain security controls for AI/ML infrastructure and data pipelines Assess and mitigate risks in AI models, including adversarial attacks, data poisoning, and model inversion Conduct threat modeling and risk assessments for AI systems, APIs, and supporting services Collaborate with data science and DevOps teams to ensure secure model deployment and continuous monitoring Implement best practices for AI data governance, model integrity, and compliance Develop tools and automation for continuous security testing of AI models and datasets Monitor AI systems for anomalies, model drift, and potential security incidents Research emerging AI security threats and contribute to internal security awareness initiatives. Requirements Minimum 2+ years of hands-on experience in security engineering, preferably in AI, ML, or data-driven environments Bachelor’s degree in Computer Science, Cybersecurity, Artificial Intelligence, or a related field Strong understanding of cloud platforms (AWS, Azure, or GCP) and container security (Docker, Kubernetes) Hands-on experience with Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Knowledge of secure software development practices, data privacy, encryption, and key management Familiarity with adversarial ML techniques, model robustness, and data integrity risks Ability to work cross-functionally with engineering, data science, and security teams Strong documentation, reporting, and communication skills Benefits Work on real-world AI security and machine learning protection challenges Exposure to modern cloud-based and MLOps-driven AI environments Opportunity to build deep expertise in AI security, governance, and compliance Accelerated learning through hands-on projects and mentorship from senior security professionals Support for relevant security and AI-related certifications Flexible and remote-friendly work culture From the Tsaaro Team: AI is redefining how organizations operate — securing it requires engineers who understand both technology and risk. As an AI Security Engineer at Tsaaro, you’ll help build resilient, trustworthy AI systems from the ground up.

Requirements

• Security engineering
• Python
• AI security
• Cloud platforms
• Data privacy

Qualifications

• Bachelor’s degree in Computer Science
• Cybersecurity
• Artificial Intelligence

Preferred Technologies

• Security engineering
• Python
• AI security
• Cloud platforms
• Data privacy

Benefits

• Real-world AI security challenges
• Cloud-based environments
• Mentorship