AI Security Architect - Associate Director

MSD

Singapore

Hybrid

SGD 180,000 - 260,000

Full time

9 days ago

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Benefits offered by this job

Hybrid work model

Job summary

MSD is seeking an AI Security Architect to lead security strategy for AI across the enterprise. You will ensure AI systems are secure by design, compliant, and resilient against evolving threats.

You will collaborate with business, engineering, and cybersecurity teams to embed secure-by-design principles throughout the AI lifecycle, drive threat modeling, and translate insights into practical security roadmaps.

Qualifications

  • 6+ years in cybersecurity, security architecture, cloud security, application security, or related fields.
  • 2+ years designing, securing, or assessing AI, ML, generative AI, or advanced analytics solutions.
  • Deep AI security knowledge: prompt injection, jailbreaks, model theft, data leakage, agent abuse.
  • Strong security architecture, threat modeling, and risk management understanding.
  • Hands-on with one or more major cloud providers (AWS, Azure, GCP, Alibaba) and their AI services.
  • Experience securing enterprise AI platforms, models, APIs, and agents.
  • Familiarity with AI tech including LLMs, RAG, vector DBs, AI agents, orchestration.
  • SDLC, DevSecOps, and cloud-native architectures expertise.
  • Ability to communicate risk to executives and engineers.
  • Experience in global enterprise environments across regions.
  • Strong analytical mindset balancing innovation, value, and risk.

Responsibilities

  • Define and maintain enterprise AI security reference architectures, standards, and security requirements.
  • Support security architecture reviews and risk assessments for AI systems and platforms.
  • Design security controls for AI-specific threats including prompt injection and data leakage.
  • Embed secure-by-design principles throughout the AI lifecycle with product teams.
  • Drive threat modeling and identify security requirements for new implementations.
  • Promote AI security best practices and drive awareness through guidance and training.
  • Track emerging AI threats and translate insights into practical security roadmaps.

Skills

Amazon EC2
AWS
Cybersecurity
Emerging Technologies
Enterprise Architecture
Enterprise Architecture Management
Generative AI
Threat Modeling
Risk Management
Security Architecture
DevSecOps
Cloud Security
AI Security

Job description

Job Description

Role Overview

Join our Security Architecture 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, Alibaba) 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, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, Strategic Planning, System Designs, Technical Advice, Threat Modeling

Preferred Skills
Employee Status

Regular

Relocation

No relocation

VISA Sponsorship

No

Travel Requirements

No Travel Required

Flexible Work Arrangements

Hybrid

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

NA

Job Posting End Date

11/30/2026

  • A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date.
Requisition ID

R411511

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