Customer Service jobs in Singapore
AI System Architect - Fast Growing Digital Asset & Payment Company - J12415
PINPOINT ASIA INFOTECH PTE. LTD.
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AI System Architect - Fast Growing Digital Asset & Payment Company - J12415
Job summary
A leading fintech company headquartered in Singapore is seeking an experienced AI System Architect to design and deploy AI agent frameworks across its operations. The role will involve building scalable data pipelines for payment validation and compliance while collaborating with various teams. Ideal candidates will have over 6 years of experience in AI architecture and proficiency in Python. Interested individuals can send their CV to the provided email.
Qualifications
- 6+ years’ experience in AI, ML architecture, or AI system design.
- Experience with designing agent-based architectures.
- Hands-on engineering in Python and microservices.
Responsibilities
- Design and deploy end-to-end AI agent frameworks.
- Build scalable pipelines for real-time validation and compliance.
- Partner with Compliance and Risk teams for regulatory requirements.
Skills
Tools
Our client is a fast-growing digital assets and digital payment tokens company that has a global presence and holds licenses across 5 different major cities. It is headquartered in Singapore and is a pioneering green fintech company, providing regulated financial services and end-to-end carbon SaaS solutions to drive sustainability and inclusivity.
From sustainability compliance and AI-powered transportation to digital payments and wealth solutions, they deliver expertise, infrastructure, and strategy to help businesses scale new heights.
AI & Agent System Architecture
- Design and deploy end-to-end AI agent frameworks across the organization, product, and operational stack.
- Build systems including autonomous agents, retrievers, action-based agents, RAG, orchestration, and API integrations.
- Architect scalable pipelines for:
- real-time payment validation
- compliance checks (AML/KYC/KYB)
- client workflow automation
- operational intelligence
- customer service and onboarding
- Evaluate and integrate LLMs, vector databases, and retrieval systems.
- Build internal tooling, microservices, and interfaces that integrate with business infrastructure.
- Design agentic workflows to reduce manual work and enhance decision‑making.
- Evaluate model performance, hallucination safeguards, and accuracy frameworks.
- Build data pipelines, embeddings, orchestration layers, and agent‑to‑system messaging.
- Partner with Compliance, Product, and Risk teams to match operational and regulatory requirements.
- Identify automation and AI product opportunities across On/Off Ramp, Treasury, Operations, and Customer Success.
- Create frameworks and standards for AI deployment company‑wide.
- 6+ years’ experience in AI, ML architecture, LLM engineering, or AI system design.
- Proven experience designing agent‑based architectures (LangChain, CrewAI, Llama Index, OpenAI model ecosystem, etc.).
- Experience with vector DBs, embeddings, and orchestration tools (Pinecone, Chroma, Redis, Weaviate).
- Hands‑on engineering experience in Python, microservices, and API integration.
- Strong knowledge of prompt engineering, retrieval systems, grounding, and data pipelines.
- Prior experience in payments, fintech, digital assets, or regulated industries.
- Familiarity with compliance workflows: KYC/KYB, AML, sanctions check.
- Experience building AI automation for B2B platforms or enterprise infrastructure.
With well over a decade of a solid and enviable track record behind us, headquartered in Hong Kong, Pinpoint Asia Infotech Pte Ltd (EA License: 16C8291) is the go‑to IT Search Firm for several top Investment Banks and Financial Institutions.
If you are interested in the above position, please send your CV to Charlie Kim resume.sg@pinpointasia.com (EA Registration number: Reg No: R23112483).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.