Staff Security Engineer (AI GRC)
Coupang · Mountain View, USA
About this role
**Company Introduction** We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being a leading and reliable force in South Korean commerce. We’re proud to have the best of both worlds—startup culture with the resources of a large global public company. This fuels our growth and the speed at which we launch new services. At Coupang, you’ll see yourself, your colleagues, your team, and the company grow every day. **Role Overview** Coupang is seeking a **Staff AI Security Governance Engineer** to join our **AI GRC (AI Governance, Risk Management, & Compliance)** team. This role is for a technical governance strategist who bridges complex AI regulatory requirements with technical security architecture. In this role, you will define and architect Coupang’s enterprise AI risk framework, translate regulatory mandates into **policy-as-code** specifications, and establish technical guardrails for AI development. You’ll partner with AI/ML engineers, security architects, Legal, and Privacy teams to set standards, and collaborate with the Control Assurance team to ensure seamless execution and continuous monitoring. **What You Will Do** - **Framework Architecture & Policy-as-Code Strategy:** Design and maintain Coupang’s AI Security & Risk Management Framework (mapped to **NIST AI RMF, ISO 42001, MSIT guidelines, and global AI Acts**). Architect policy-as-code rule sets and security baseline specifications for deployment across AI pipelines. - **Assurance Partnering:** Define technical control criteria and validation logic that the Control Assurance team will execute, monitor, and audit. - **AI Risk Evaluation & Safeguards:** Identify, assess, and set mitigation standards for AI-specific threat vectors (e.g., **prompt injection, training data leakage, model extraction, shadow AI, and supply chain vulnerabilities**) across internal and third-party AI SaaS/LLM deployments. - **Cross-Functional Engineering Alignment:** Embed governance and security requirements into AI architectures, CI/CD workflows, and runtime environments by partnering with AI platform teams, infrastructure engineers, and security architects. - **Enterprise AI Policy Ownership:** Own the enterprise AI policy lifecycle, including decision frameworks for AI model adoption, data privacy guardrails, and cross-border data transfer requirements. **Basic Qualifications** - Bachelor’s degree in Computer Science, Information Security, Software Engineering, or a related technical/policy field - **10+ years** of experience in Information Security, Technical GRC, Security Architecture, or AI/Cloud Governance - Deep understanding of **AI/ML security risks**, **AWS/cloud security architecture**, and privacy/data protection principles - Strong technical literacy to evaluate system architecture diagrams, interpret API/data flow models, and translate policy requirements into technical specifications - Proven track record architecting governance frameworks (**NIST AI RMF, ISO 42001, NIST CSF, PIPA**) in tech-driven environments - Excellent written and verbal communication skills in English **Preferred Qualifications** - Experience defining **policy-as-code** specifications, continuous control m
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