Job description

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

Job Requirement

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