AI Security Architect

Orbus International; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Orbus International is seeking a senior cybersecurity professional with 8–10 years of experience in security architecture, cloud security, or platform security. You will design or secure AI/ML and GenAI platforms in enterprise settings and implement strong cloud-native security controls including IAM, encryption, and logging.

The ideal candidate has hands-on threat modeling, architecture risk assessment, and control mapping experience, plus familiarity with AI governance, DLP, CASB, secure APIs,

Qualifications

• 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.

Skills

Cybersecurity

Security architecture

Cloud security

AI/GenAI security

Threat modeling

Architecture risk

Control mapping

AI governance

DLP

CASB

Secure APIs

Data-centric security

SOC workflows

Communication

Tools

IAM

Secrets management

Encryption

DLP tools

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).