AI Security Architect - Associate Director

MSD Malaysia; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MSD Malaysia in Singapore is seeking an AI Security Architect to lead the design and implementation of security strategies for AI, agents, and foundation models across the enterprise.

You will partner with business, engineering, and cybersecurity teams to ensure AI systems are secure by design, compliant with standards, and resilient against evolving threats.

The role requires hands-on security architecture, threat modeling, and guiding secure-by-default practices throughout the AI lifecycle.

Qualifications

• 6+ years of experience in cybersecurity, security architecture, cloud security, or related disciplines.
• 2+ years designing, securing, or assessing AI, ML, or generative AI solutions.
• Strong understanding of AI security concepts and risk management.

Responsibilities

• Define and maintain enterprise AI security architectures and standards.
• Support security reviews and risk assessments for AI systems and platforms.
• Design controls for AI-specific threats including prompt injection and data leakage.
• Embed secure-by-design principles across the AI lifecycle.
• Lead threat modeling for AI solutions and roadmap security requirements.
• Promote AI security best practices through guidance and training.
• Monitor AI threat landscape and translate insights into strategies.

Skills

AI security

Security architecture

Threat modeling

DevSecOps

Cloud security

Risk management

Tools

AWS

Azure

GCP

Job description

Job Description Role Overview Join our ITRMS AI Security team and help shape the future of secure AI adoption across the enterprise. As an AI Security Architect, you will lead the design and implementation of security strategies, architectures, and controls that enable the safe adoption of AI technologies, AI agents, foundation models, and generative AI capabilities across the company. You will partner with business, engineering, enterprise architecture, and cybersecurity teams to ensure AI systems are secure by design, compliant with enterprise standards, and resilient against always evolving threats.

What will you do in this role?

• Define and maintain enterprise AI security reference architectures, standards, design patterns, and security requirements.
• Support security architecture reviews and risk assessments for AI systems, AI applications, AI agents, and AI-enabled platforms across the enterprise.
• Design security controls addressing AI-specific threats including prompt injection, jailbreaks, model manipulation, data leakage, agent abuse, model supply chain compromise, and unauthorized access.
• Partner with solution architects, engineers, and product teams to embed secure-by-design and secure-by-default principles throughout the AI lifecycle.
• Drive threat modeling exercises for AI solutions and identify security control requirements for new and existing implementations.
• Drive adoption of AI security best practices and contribute to organizational awareness through architecture guidance, workshops, standards, and training sessions.
• Track emerging AI threats, industry trends, and evolving regulations, translating insights into practical security strategies and roadmap recommendations.

What should you have?

• 6+ years of experience in cybersecurity, security architecture, cloud security, application security, or related disciplines.
• 2+ years of experience designing, securing, or assessing AI, machine learning, generative AI, or advanced analytics solutions.
• Deep understanding of AI security concepts including prompt injection, jailbreak techniques, indirect prompt attacks, model theft, model poisoning, adversarial machine learning, agent security, and AI supply chain risks.
• Strong understanding of security architecture principles, threat modeling methodologies, and risk management frameworks.
• Hands‑on experience with one or more major cloud providers (AWS, Azure, GCP) and their AI service offerings.
• Experience implementing security controls for enterprise AI platforms, models, APIs and agents, familiarity with AI technologies including LLMs, RAG architectures, vector databases, AI agents, orchestration frameworks, MCP, model gateways, and AI development platforms.
• Strong understanding of secure software development lifecycle (SDLC), DevSecOps practices, and cloud‑native architectures.
• Ability to communicate technical and business risk effectively to both executive leadership and engineering teams.
• Experience working within global enterprise environments and influencing teams across multiple regions.
• Strong analytical mindset with the ability to balance innovation, business value, and risk management.

Required Skills:

• Amazon Elastic Compute Cloud (Amazon EC2)
• Amazon Web Services (AWS)
• Cybersecurity
• Emerging Technologies
• Enterprise Architecture (EA)
• Enterprise Architecture Management
• Generative AI
• Methods and Tools
• Requirements Management
• Risk Management
• Risk Management Framework
• Security Architecture Design
• Security Compliance
• Security Framework}]