Ant International-Senior System Assurance Expert-Cross Border SG

岗位职责

Ant International is a leading global digital payment and financial technology provider, enabling trusted cross-border commerce and financial connectivity.

The Chief System Assurance Officer (CSAO) organization is responsible for establishing a Global Sovereign System Assurance Framework, ensuring that Ant International’s cross-border payment systems are intrinsically Visible, Controllable, Verifiable, Auditable, and Sustainable.

The Senior System Assurance Expert – Cross-Border will lead to design, build, and operate AI agents that automate cross-border system assurance by embedding data sovereignty, regulatory compliance, and jurisdiction-aware controls directly into Ant International's global payment infrastructure.

The role is responsible for developing AI-powered assurance capabilities that continuously monitor, validate, and enforce cross-border system controls, ensuring payment systems remain Visible, Controllable, Verifiable, Auditable, and Sustainable (VCVAS) across multiple sovereign domains.

Key Responsibilities

● Design and develop AI agents that automate cross-border system assurance and regulatory control enforcement. ● Build AI-driven workflows to continuously monitor cross-border data access, processing, and transfer activities. ● Translate regulatory requirements into machine-readable policies and AI-executable controls. ● Develop AI agents that automatically detect, assess, and remediate cross-border compliance risks. ● Collaborate with Engineering, Security, Privacy, Legal, Compliance, and Infrastructure teams to embed AI assurance into system architecture. ● Build evidence-generation capabilities that continuously produce regulator-ready assurance artifacts. ● Contribute to the evolution of Ant International's AI-native System Assurance Platform.

Key Deliverables

● Real-time global data assurance map (no “black box”) ● Fully implemented cross-border data control framework ● Complete regulator-grade compliance evidence for data flows ● Demonstrated compliance with GDPR and global data sovereignty requirements

任职要求

Required Qualifications & Experience AI & Agent Engineering Experience building AI agents, LLM applications, or autonomous workflows for security, compliance, or enterprise platforms. Hands-on experience with frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, or similar. Good understanding of RAG, MCP, agent orchestration, and evaluation. Data Governance & Compliance Knowledge of cross-border data governance, sovereign cloud, and data localization requirements. Familiarity with regulations such as GDPR, UK GDPR, PIPL, DORA, and the CLOUD Act. Experience translating regulatory requirements into automated controls, policies, or AI-driven workflows. Cloud & Platform Engineering Experience building cloud-native, distributed systems across multiple regions. Understanding of jurisdiction-aware architectures and continuous compliance. Experience with Policy-as-Code, Infrastructure-as-Code, or automated control validation is a plus.

Preferred Qualifications Bachelor's or Master's degree in Computer Science, AI, Cybersecurity, or a related field. 5+ years of experience in software, AI, cloud, cybersecurity, or platform engineering. Proficiency in Python, Kubernetes, APIs, microservices, and at least one major cloud platform (AWS, Azure, GCP, or Alibaba Cloud). Familiarity with security frameworks such as NIST CSF, ISO 27001, PCI DSS, or DORA. Experience building AI solutions for cybersecurity, governance, risk, or compliance is highly desirable. Leadership & Personal Attributes Strong ownership, analytical, and problem-solving skills. Ability to balance regulatory requirements with scalable engineering solutions. High integrity and commitment to security, privacy, and data protection. Excellent communication and stakeholder management skills in cross-functional, global teams.

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