Ant International-Senior System Assurance Expert – Cross-Border-Ant International

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

1. AI Agent Engineering for Cross-Border System Assurance ● Experience building AI agents, LLM applications, or autonomous workflows for security, compliance, or infrastructure. ● Familiarity with AI frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, or equivalent. ● Understanding of Retrieval-Augmented Generation (RAG), MCP, orchestration, and agent evaluation.
2. Data Sovereignty & Cross-Jurisdiction Controls ● Understanding of GDPR, UK GDPR, PIPL, CLOUD Act, DORA, and regional data localization requirements. ● Knowledge of cross-border data governance and sovereign cloud architectures. ● Experience designing jurisdiction-aware control logic.
3. Regulatory Knowledge to AI Automation ● Ability to translate legal and regulatory requirements into AI-executable policies and automated workflows. ● Experience developing policy engines or compliance automation solutions. ● Knowledge of Security-by-Design and Compliance-by-Design principles.
4. AI-Based Control & Assurance Model Design ● Design AI agents that continuously: ● Discover compliance gaps ● Assess cross-border risks ● Recommend or execute remediation ● Generate auditable evidence ● Experience with policy-as-code, infrastructure-as-code, or automated control validation is highly desirable.
5. Multi-Region AI Operating Model ● Experience building distributed systems or cloud-native platforms across multiple regions. ● Understanding of sovereign cloud architectures and regional deployment models. ● Ability to design AI agents that operate consistently across different regulatory jurisdictions.

Preferred Qualifications ● BS/MS in Computer Science, AI, Cybersecurity, or related field. ● 5–10 years of software engineering, cloud engineering, AI engineering, or security engineering experience. ● Experience with: ● Python ● Kubernetes ● Public cloud (AWS, Azure, GCP, Alibaba Cloud) ● APIs and microservices ● Security automation ● Familiarity with NIST CSF 2.0, ISO 27001, PCI DSS, DORA, or similar frameworks. ● Experience building AI solutions for cybersecurity, compliance, or risk management is a strong plus. Leadership & Personal Attributes ● Strong ownership mindset with control and governance focus ● Ability to balance regulatory rigor with scalable engineering solutions ● High integrity and commitment to data protection and trust ● Excellent cross-functional leadership and stakeholder management skills

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