Description

Job Responsibilities include:

Lead security architecture reviews for enterprise and GenAI solutions, ensuring alignment with standards, risk, and compliance requirements.

Evaluate GenAI and agentic system designs for data protection, prompt security, and safe orchestration of AI components.

Author and maintain Architecture Decision Records (ADRs) and reference architecture for AI-driven and traditional systems.

Perform threat modeling and define security controls across cloud, application, and AI-integrated environments.

Collaborate with cross-functional teams to guide secure adoption of GenAI, RAG pipelines, and autonomous agents.

Drive continuous improvement by leveraging automation and GenAI tools for architecture reviews, governance, and documentation.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Cybersecurity, Information Systems, or a related field.

10+ years of experience in enterprise architecture, security architecture, or related domains.

Strong expertise in security architecture frameworks (TOGAF, SABSA, NIST) and hands-on experience with GenAI/LLM architectures, ADRs, and SARB processes.

Proven experience in threat modeling, DevSecOps, and securing AI/GenAI systems, including agentic frameworks, RAG pipelines, and cloud-based AI platforms (e.g., Azure OpenAI, Vertex AI)

Key Skills

Education

Any Graduate