AI Security Architect

Charterhouse Partnership | Asia; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Charterhouse Partnership | Asia is looking for a highly skilled AI Security Architect who will design and secure AI systems, ensuring their safety and resilience against threats. The ideal candidate should bridge technical expertise in AI with strong governance and stakeholder engagement.

This role involves designing AI/ML systems, developing secure architectures, and working collaboratively with engineering and risk teams. Interested candidates are encouraged to reach out to Jackie Panopio for a confidential discussion.

Qualifications

• Expertise in designing and securing AI/ML systems.
• Strong knowledge of AI governance frameworks.
• Experience with DevSecOps practices.

Responsibilities

• Design and secure end-to-end AI/ML systems.
• Develop secure AI reference architectures.
• Translate complex AI security risks into business narratives.

Skills

AI Security Architecture

Cybersecurity Principles

Data Governance

Stakeholder Engagement

Python

DevSecOps

Tools

Docker

Kubernetes

FastAPI

Flask

GitHub Actions

Splunk

ELK

Job description

We are seeking a highly skilled AI Security Architect who operates at the intersection of cybersecurity, AI/ML systems, cloud architecture, and governance. This role is responsible for designing and securing AI systems end-to-end, ensuring enterprise AI and GenAI adoption is both safe and resilient against emerging threats.

The ideal candidate will bridge deep technical expertise in AI and security with strong architectural thinking, governance awareness, and stakeholder engagement across engineering, risk, and leadership teams. Key Responsibilities include:

AI & Security Architecture

• Design and secure end-to-end AI/ML systems, including LLM and GenAI pipelines
• Identify and mitigate AI-specific threats such as prompt injection, data poisoning, model inversion/extraction, and adversarial manipulation
• Apply core cybersecurity principles including IAM, Zero Trust, threat modelling, and secure SDLC

AI Security Design & Controls

• Develop secure AI reference architectures across data, model, and application layers
• Embed security into:
• Data pipelines (training and inference)
• AI APIs and service layers
• Implement GenAI guardrails, including:
• Content filtering
• Policy enforcement mechanisms
• Architect and implement cloud-native security controls for AI workloads
• Leverage services such as IAM, KMS, Security Hub, VPC design, and secrets management
• Secure distributed AI systems using containerized environments (Docker, Kubernetes)
• Apply AI governance frameworks such as NIST AI RMF, ISO 42001, and EU AI Act
• Embed Responsible AI principles including fairness, transparency, explainability, and auditability
• Collaborate closely with Risk, Legal, Compliance, and Security teams
• Build and support security tooling using Python and modern engineering stacks
• Develop secure APIs (FastAPI, Flask, Java/Spring)
• Implement DevSecOps pipelines (CI/CD, GitHub Actions, Jenkins)
• Build automation for security monitoring, logging, and detection (SIEM, Splunk, ELK)
• Conduct AI-specific threat modelling workshops
• Understand attacker behaviours targeting AI systems
• Apply frameworks such as STRIDE and MITRE ATT&CK (AI extensions)
• Simulate adversarial attacks to test model robustness

Stakeholder Engagement

• Translate complex AI security risks into clear business and risk narratives
• Partner with data scientists, ML engineers, and CISO-level stakeholders
• Promote a security-by-design culture across AI initiatives

Please contact Jackie Panopio at [phone] or [e-mail] for a confidential discussion.