Our client is creating an AI Factory to modernize finance and accounting across Asia, the US, and Europe. This role is central to designing, building, and rolling out AI-driven automation, machine-learning models, and agentic AI workflows that boost productivity, accuracy, and insight for a 600-person finance team. You'll work with FP&A, Accounting, Tax, Treasury, and IT to take AI solutions from prototype to full-scale production, targeting clear business impact—time savings, fewer errors, better working capital, and improved forecast accuracy.
Key Responsibilities
- Build and deploy AI/ML pipelines to automate core finance processes such as closing, reconciliations, forecasting, and tax analytics
- Develop agentic AI systems using multi-agent frameworks (CrewAI, AutoGen, LangGraph, or equivalents)
- Integrate AI solutions with enterprise platforms like ERP systems, BI tools, Dataiku, Google Vertex AI, and Azure OpenAI
- Create supervised and unsupervised ML models for forecasting, anomaly detection, and fraud/risk analysis
- Fine-tune large language models on finance data while adhering to compliance and governance standards
- Set up monitoring, retraining, and performance management for deployed models
- Convert finance workflows into AI use cases with measurable ROI (e.g., >20% time reduction, >30% accuracy improvement)
- Deliver pilot projects within 90 days and scale them enterprise-wide within 6–12 months
- Partner with process owners to drive adoption and maintain governance
- Ensure solutions meet audit, data privacy, and regulatory requirements
- Incorporate explainability and traceability into all production models
Candidate Profile
- 4–7 years in data science or ML engineering with production-grade deployments
- Experience with AI factory approaches—modular design, reusable components, orchestration frameworks
- Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow), SQL, and APIs
- Hands-on work with agentic AI frameworks such as CrewAI, AutoGen, LangChain, or LangGraph
- Cloud deployment experience on Google Vertex AI, Azure ML, AWS SageMaker, or similar
- Proven record of delivering productivity projects with measurable ROI
- Familiarity with finance/accounting processes (forecasting, close, compliance, treasury)
- Knowledge of Dataiku DSS or comparable low-code AI platforms
- Experience with workflow automation tools (Power Automate, UiPath, n8n)
- Prior experience in a shared-services or multinational finance environment
- Bilingual in Vietnamese and English
Success Metrics (First 12 Months)
- Launch at least 3 AI pilots in FP&A/Accounting achieving >20% productivity gains
- Create reusable AI components for the finance AI Factory (agents, connectors, templates)
- Deliver >US$500k in cost savings through AI-enabled automation
- Put in place a governance framework for finance AI covering accuracy, auditability, and risk
Why Join
- Chance to build the first finance AI Factory for a global enterprise
- Work on cutting-edge agentic AI and enterprise AI technologies
- Be part of a lean, high-impact team reporting directly to global finance leadership
- Competitive compensation with a clear growth path in a multinational group
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