AI Security Architect

Orbus International; Hinoba-an; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Orbus International is seeking a senior cybersecurity architect to lead security design across cloud and platform environments, with emphasis on AI/GenAI risk, data protection, and governance. The role requires hands-on security expertise and collaboration with engineers and executives.

The ideal candidate will have deep experience in threat modeling, risk assessments, and secure API practices while advocating responsible AI principles in a complex enterprise setting.

Qualifications

• 8–10 years of cybersecurity experience with focus on security architecture, cloud or platform security.
• Hands-on design or security of AI/ML or GenAI platforms in enterprise.
• Strong cloud-native security skills: IAM, network security, secrets management, encryption, and logging.
• Experience in threat modeling, architecture risk assessment and control mapping.
• Knowledge of AI risks such as prompt injection, model poisoning, data leakage, and unintended inference.
• Familiarity with AI governance frameworks, emerging AI regulations, and responsible AI principles.
• Experience with DLP, CASB, secure APIs, and data-centric security in AI contexts.
• Understanding of SOC workflows and how AI signals fit into detection and response.
• Strong communication skills with engineers, risk partners, and executives.

Skills

Cybersecurity experience

Security architecture

Cloud security

Platform security

AI/ML security

GenAI security

Threat modeling

Architecture risk assessment

Control mapping

AI governance

AI regulations

Responsible AI

DLP

CASB

Secure APIs

Data-centric security

SOC workflows

Communication

Education

Bachelor's degree or higher

Job description

• 8 to 10 years of cybersecurity experience, with a strong background in security architecture, cloud security, or platform security.
• Hands-on experience designing or securing AI/ML or GenAI platforms in an enterprise environment.
• Strong cloud-native security skills: IAM, network security, secrets management, encryption, and logging.
• Solid threat modeling, architecture risk assessment, and control mapping experience.
• Working knowledge of AI-specific risks such as prompt injection, model poisoning, data leakage, and unintended inference.
• Familiarity with AI governance frameworks, emerging AI regulations, and responsible AI principles.
• Experience with DLP, CASB, secure APIs, and data-centric security models in AI contexts.
• Understanding of SOC workflows and how AI signals fit into detection and response.
• Communication skills strong enough to engage engineers, risk partners, and executives.

Preferred Certifications

• OSCP, CISSP, or CCSP.
• One cloud security certification (AWS, Azure, or OCI).