Sr Cybersecurity Engineer- AI and Model Security
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain AI and model security architecture, standards, and governance framework.
Design and implement security controls across the AI/ML lifecycle including development, deployment, and operations.
Assess and mitigate AI/ML security risks such as prompt injection, data leakage, adversarial attacks, and unauthorized access, including conducting security testing and threat modeling.
Minimum Requirements
4+ years experience in engineering, cybersecurity, architecture, or related technical roles.
Bachelor’s degree in computer science, information systems, engineering, or equivalent technical discipline or relevant experience.
Experience designing or operating cloud-based solutions with at least one major cloud platform and configuration management capabilities.
Working knowledge of AI/ML concepts, model lifecycles, APIs, and large language model technologies.
Ideal Candidate Profile
Professional with a strong background in securing AI and model ecosystems within cloud environments, especially Microsoft Azure.
Experienced in translating strategic AI security risks into actionable controls and recommendations for diverse stakeholders.
Hands-on with scripting, automation, cloud security, risk assessments, and security architecture in AI-focused settings.