Staff, AI Security Architect
About this role
Coupang’s AI Security Architects spend their days designing, defining, and governing the enterprise-wide security architecture for all artificial intelligence and machine learning platforms. This team builds next-generation AI infrastructure, establishing standard reference architectures, model safety frameworks, and risk governance protocols that embed secure-by-design standards across the organization.
This role exists to act as a principal technical leader and ambassador who safeguards the technology ecosystem against complex threats. A successful person in this position will combine a deep technical understanding of distributed cloud environments and AI-specific vulnerabilities with the communication skills needed to influence senior technical leaders and drive strategic security adoption.
What you will do
- Design and scale secure AI/ML foundations by creating end-to-end security blueprints, threat modeling complex pipelines, and establishing enterprise standards for secure model lifecycles.
- Manage data-driven AI risks and threat governance by defining security risk metrics, evaluating platform security posture, and ensuring alignment with organizational objectives.
- Collaborate closely with key stakeholders including principal software engineers, enterprise architects, and development organization leaders.
- Acquire deep expertise in specialized security demands for emerging technology platforms such as LLM guardrails, agentic systems, real-time data privacy, and cloud MLOps.
- Respond rapidly to evolving technical and threat landscapes to drive AI security architectural innovations.
- Prevent data leakage, model inversion, and pipeline compromise by reviewing system designs, auditing high-risk architectures, and establishing technical governance standards.
- Enhance developer efficiency and system reliability by delivering security frameworks, automated compliance patterns, and high-risk security review guides.
What you need
- Hold a bachelor's degree or higher in computer science, cybersecurity, computer engineering, or a related field.
- Possess 6 or more years of total technology experience with a significant focus on enterprise architecture, cloud security, or software security design.
- Demonstrate deep architectural knowledge of AI/ML systems and cloud infrastructure utilizing AWS, GCP, or Azure.
- Exhibit specialized knowledge of AI-specific security threats including prompt injection, model theft, data poisoning, and OWASP Top 10 for LLMs.
- Show proven experience designing threat models, enterprise security standards, and secure reference architectures for complex distributed applications.
- Apply systemic thinking and creative problem-solving abilities to tackle large-scale architectural challenges.
- Demonstrate the ability to collaborate across various organizations, build consensus, and influence senior technical leaders and executives through effective communication.
Nice to have
- Hold recognized industry credentials in architecture or security such as SABSA, TOGAF, CISSP-ISSAP, or CCSP.
- Bring hands-on experience in building and operating AI/ML systems.
- Demonstrate expertise in privacy, confidential computing, differential privacy, and data protection regulations.
- Have experience establishing processing and protection frameworks for personally identifiable information within AI models.
- Show past success leading AI security innovation within fast-growing tech companies, large-scale e-commerce environments, or global cloud environments.
- Possess experience building Zero Trust-based AI platforms or executing security architecture transitions.
Skills and tech stack
Questions candidates ask
What is the interview process for this role?
The hiring process consists of a document screening, a job suitability interview, a core competency interview, and a final acceptance stage. Please note that the specific steps and schedules may vary by role and are communicated individually via email.
What kind of background is required for this position?
Candidates must hold a bachelor's degree or higher in computer science, cybersecurity, computer engineering, or a related field. Additionally, applicants need six or more years of total experience in technology with a focus on enterprise architecture, cloud security, or software security design.
What specific security threats will I be working with?
The role requires deep expertise in AI-specific security threats such as prompt injection, model theft, data poisoning, and the OWASP Top 10 for LLMs. You will also work to prevent data leakage, model inversion, and pipeline compromise.