VP, AI Security Architect

Charterhouse Partnership; Singapore; On-site; SGD 260,000 - 380,000; Full time

Job summary

Charterhouse Partnership seeks a VP, AI Security Architect to lead security architecture strategies across AI, GenAI, cloud and digital assets. You will partner with engineering and risk teams to enable secure innovation while upholding security-by-design principles.

The role requires senior expertise in AI security, cloud security, SDLC, and risk governance within large enterprises or regulated sectors. You will shape patterns, review architectures and guide governance for advanced technologies.

Qualifications

• Bachelor’s degree in Information Security, Computer Science, Engineering or related field.
• Master’s degree in Information Security/Computer Science advantageous.

Responsibilities

• Lead security architecture assessments for AI/GenAI platforms and cloud-native solutions.
• Define secure AI architecture patterns covering LLMs, RAG, AI agents and lifecycle management.
• Evaluate AI security risks including prompt injection, data leakage and adversarial attacks.
• Develop AI security governance frameworks, controls and standards aligned with regulatory expectations.
• Perform architecture reviews by analysing data flows, trust boundaries, identities and security controls.
• Identify security gaps and recommend practical remediation balancing risk and business needs.
• Establish reusable security patterns across AI, cloud, identity and secure development practices.
• Partner with engineers and risk teams to embed security throughout the lifecycle.
• Provide security guidance for emerging technologies where standards evolve.

Skills

AI/Generative AI Security

Cloud Security

Application Security

IAM/PAM

Data Protection

SSDLC

Security Architecture

Threat Modelling

Security Governance

Education

Bachelor's degree in Information Security/CS/Engineering

Master's degree in Information Security/CS

Job description

We are seeking an experienced VP, AI Security Architect to provide strategic and hands‑on security architecture leadership across Artificial Intelligence (AI), Generative AI, cloud, digital assets, and emerging technology platforms.

The successful candidate will be responsible for assessing complex technology designs, defining secure AI adoption frameworks, establishing security architecture patterns, and partnering with engineering, architecture, risk, and business teams to enable innovation while maintaining strong security‑by‑design principles.

This role requires a senior security professional with deep technical expertise, strong architecture judgement, and the ability to navigate emerging technology risks within a large enterprise or regulated financial services environment.

Key Responsibilities

• Lead security architecture assessments for AI/GenAI platforms, cloud-native solutions, digital assets, applications, APIs, and emerging technologies.
• Define secure AI architecture patterns covering LLMs, RAG solutions, AI agents, AI platforms, model lifecycle management, and enterprise AI adoption.
• Evaluate AI security risks including prompt injection, data leakage, model abuse, adversarial attacks, insecure integrations, and AI supply chain risks.
• Develop AI security governance frameworks, controls, and standards aligned with industry best practices and regulatory expectations.
• Perform architecture reviews by analysing solution designs, data flows, trust boundaries, identity models, integration patterns, and security controls.
• Challenge architecture decisions, identify security gaps, and recommend practical security solutions that balance risk management with business objectives.
• Establish reusable security patterns across AI, cloud, application security, identity, data protection, and secure development practices.
• Partner with architects, engineers, developers, risk teams, and technology leaders to embed security throughout the technology lifecycle.
• Provide security guidance for emerging technologies where standards and practices continue to evolve.
• Act as a trusted security advisor to senior stakeholders, communicating complex technical risks and recommendations effectively.

Requirements

• Bachelor’s degree in Information Security, Computer Science, Engineering, or related discipline. A Master’s degree in Information Security, Computer Science, or related field is advantageous.
• 15+ years of cybersecurity experience, with significant hands‑on experience in security architecture, security engineering, application security, cloud security, or technology risk.
• Proven experience performing security architecture reviews within large enterprises, financial institutions, regulated industries, or complex technology environments.
• Strong technical understanding across:
• AI/Generative AI Security
• Cloud Security (AWS/Azure/GCP)
• Application and API Security
• Identity and Access Management (IAM/PAM)
• Data Protection and Encryption
• Cryptography
• Secure Software Development Lifecycle (SSDLC)
• Security Monitoring and Threat Detection
• Ability to interpret complex architecture diagrams, identify control gaps, assess security risks, and define practical remediation approaches.
• Strong individual contributor mindset with the ability to operate independently while influencing stakeholders across technology and security teams.
• Strong risk-based decision‑making skills with the ability to support business innovation while maintaining security standards.
• Excellent communication skills with the ability to explain complex security concepts to both technical and non‑technical stakeholders.
• Comfortable working across multiple technology domains and rapidly assessing new and emerging technologies.

Preferred Experience

AI / Generative AI Security

• Practical experience securing:
• Retrieval-Augmented Generation (RAG) architectures
• AI agents and agentic workflows
• Enterprise AI platforms and open‑source AI ecosystems
• Experience with:
• AI threat modelling
• AI red teaming
• AI guardrails and content safety controls
• AI model governance and onboarding processes
• AI supply chain security
• Familiarity with AI security frameworks and standards such as:
• OWASP Top 10 for LLM Applications
• MITRE ATLAS
• Cloud Security Alliance (CSA) AI Controls
• Experience securing enterprise AI/cloud platforms such as:
• AWS Bedrock / SageMaker
• Strong understanding of cloud security architecture, landing zones, identity controls, workload isolation, and data protection.

Digital Assets / Blockchain Security

• Understanding of blockchain and digital asset security concepts, including:
• Custody architecture
• Wallet and key management
• Smart contract security
• Public blockchain risk considerations

Application & Platform Security

• Experience with:
• API security
• Authentication and authorization models
• Secure integration patterns
• Software supply chain security
• DevSecOps practices

Ideal Candidate Profile

A senior security architect who combines deep technical expertise, architecture leadership, and strategic thinking — someone who can assess emerging AI technologies, identify security implications, and enable secure adoption of next‑generation platforms within a complex enterprise environment.