Sr Cybersecurity Engineer- AI and Model Security

Job Summary


Responsibilities

• Develop and maintain the organization s AI and model security architecture, standards, roadmap, and governance framework.
• Design, implement, and integrate security controls across the AI/ML lifecycle, including development, DevSecOps, deployment, and operations.
• Assess AI/ML and LLM solutions for risks such as prompt injection, data leakage, adversarial attacks, model manipulation, insecure integrations, and unauthorized access.
• Conduct security testing, architecture reviews, threat modeling, control validation, and incident investigations for AI systems.
• Define and enforce secure configuration and security requirements for AI platforms, models, datasets, APIs, cloud services, containers, and third-party providers.
• Support the selection, deployment, configuration, lifecycle management, and oversight of enterprise AI models, LLMs, and related platforms, including inventories, ownership, approved uses, and controls.
• Establish monitoring capabilities to detect model misuse, abnormal behavior, data exposure, configuration drift, and emerging threats.
• Translate AI security risks into actionable recommendations, contribute to risk assessments and compliance activities, and stay current with evolving threats, regulations, frameworks, and industry best practices.

Education

• Bachelor s degree in computer science, information systems, engineering, or an equivalent technical discipline or combination of education and relevant experience

Skills and Competencies

• 4+ years of experience in a technical, engineering, architecture, cybersecurity, or related role
• Demonstrated ability to design, secure, or operate cloud-based solutions, including experience with at least one major cloud platform and its configuration-management capabilities
• Working knowledge of artificial intelligence, machine learning concepts, model lifecycles, application programming interfaces, and large language model technologies
• Experience conducting security architecture reviews, threat modelling, technical risk assessments, or security testing
• Ability to translate strategic objectives and technical AI risks into implementable requirements, controls, and practical recommendations for varied stakeholders
• Hands-on capability with relevant scripting, automation, cloud, security, or machine-learning tools, supported by strong analytical, written, verbal, and cross-functional collaboration skills

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.