Staff Security Engineer (AI GRC)

Coupang, Inc.; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Coupang, Inc. is seeking a Staff AI Security Governance Engineer to join the AI GRC team, bridging regulatory requirements and technical security architecture for enterprise AI programs. This role defines and maintains the AI security risk framework and translates mandates into policy-as-code specifications.

You will collaborate with AI/ML engineers, Legal, and Privacy to set standards, monitor controls, and ensure governance across deployments, data, and cross-border considerations.

Qualifications

• Bachelor’s degree in Computer Science, Information Security, Software Engineering, or related field.
• 10+ years in Information Security, Technical GRC, Security Architecture, or AI/Cloud Governance.
• Deep understanding of AI/ML security risks, cloud security architecture (AWS), and privacy/data protection principles.
• Strong ability to translate policy requirements into technical specs.
• Proven track record of architecting governance frameworks (NIST AI RMF, ISO 42001, NIST CSF, PIPA).
• Excellent written and verbal English communication skills.

Responsibilities

• Framework Architecture & Policy-as-Code Strategy: design and maintain Coupang’s AI Security & Risk Management Framework.
• Assurance Partnering: define control criteria for the Control Assurance team to execute and audit.
• AI Risk Evaluation & Safeguards: set mitigation standards for AI threat vectors across internal and third-party AI deployments.
• Cross-Functional Engineering Alignment: embed governance into AI architectures, CI/CD, and runtimes.
• Enterprise AI Policy Ownership: manage policy lifecycle, data privacy guardrails, and cross-border data transfer requirements.

Skills

AI governance

Information Security

GRC

Security Architecture

Policy-as-code

NIST AI RMF

ISO 42001

Cloud security (AWS)

Communication in English

Regulatory compliance

Job description

Staff AI Security Governance Engineer (AI GRC)

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 leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

Coupang is seeking a Staff AI Security Governance Engineer to join our AI GRC (AI Governance, Risk Management, & Compliance) team in Seoul. This role is designed for a technical governance strategist who bridges the gap between complex AI regulatory requirements and 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 the technical guardrails for AI development. You will partner with AI/ML engineers, security architects, Legal, and Privacy teams to set standards, while collaborating with our dedicated Control Assurance team to ensure seamless execution and continuous monitoring.

This Role would require Relocation to either Seoul, South Korea OR Mountain View, CA, USA.

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 the 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: Partner closely with AI platform teams, infrastructure engineers, and security architects to embed governance and security requirements directly into AI architectures, CI/CD workflows, and runtime environments.
• Enterprise AI Policy Ownership: Own the enterprise AI policy lifecycle, establishing clear 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, cloud security architecture (AWS), 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 for engineering and assurance teams.
• Proven track record of 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 monitoring logic, or automated compliance guardrails in cloud environments.
• Hands-on familiarity with AI/ML pipelines, LLM integration architectures, data tokenization techniques, or cloud control planes.
• Experience partnering with operational audit/assurance teams to operationalize GRC metrics and controls.
• Relevant industry certifications (e.g., CISM, CRISC, CISSP, or specialized AI security/governance credentials).