Private Bank - Senior AI Engineer

CFA Institute; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading financial institution in Singapore is seeking a Senior AI Engineer to architect and operationalize Generative AI infrastructure for their Private Banking unit. This role will focus on building robust content generation systems, ensuring governance and compliance standards are met. Ideal candidates should possess strong software engineering experience, particularly with LLM applications, have a good grasp of financial concepts, and be leaders in technical governance. The position emphasizes designing scalable solutions while enhancing advisory capabilities for Private Bankers.

Qualifications

• 6-10+ years of experience in engineering focusing on LLM applications in production.
• Strong background in software engineering and financial markets.
• Experience with 'Human-in-the-Loop' systems and compliance checks.

Responsibilities

• Design and implement scalable workflows using LLM frameworks.
• Establish a version-controlled Prompt Management System.
• Collaborate with Enterprise IT to integrate AI microservices.

Skills

Software engineering

Large Language Model applications

Python

Financial domain literacy

Governance and compliance understanding

Tools

Docker

Kubernetes

FastAPI

LangChain

OpenAI APIs

Job description

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values - Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long‑term success. It is how we work, consistently, whether towards the company, our colleagues or our customers.

Job Description

The Investment Products & Solutions division is seeking a Senior AI Engineer to architect and operationalize the Generative AI infrastructure for our Private Banking unit. We are transitioning our AI initiatives from experimental research to robust, production‑grade systems. The primary objective of this role is to build a governed, deterministic content generation engine that enhances the advisory capabilities of our Private Bankers. You will partner directly with the Head of Digital Advisory (a CFA charterholder and domain subject matter expert) to translate complex financial requirements into secure technical architectures.

Core Responsibilities

• System Architecture & Orchestration: Design and implement scalable workflows using LLM frameworks (e.g., LangChain) to automate the production of high‑stakes financial documents, including Investment Pitchbooks and CIO Research summaries.
• Systematic Prompt Engineering: Establish a version‑controlled Prompt Management System. Treat prompts as code, implementing rigorous testing frameworks to ensure outputs adhere to specific “House View” tonality and factual accuracy.
• Governance & Safety: Design technical guardrails to mitigate model hallucinations and ensure compliance with Model Risk Management (MRM) standards. Implement Retrieval‑Augmented Generation (RAG) architectures to ground generation strictly in proprietary internal data.
• Production Engineering: Collaborate with Enterprise IT teams to integrate AI microservices into existing banking infrastructure, ensuring low latency, high availability, and auditability.

Technical Environment

Our environment prioritizes stability, security, and auditability over experimental flexibility.

• Languages: Python 3.9+ (FastAPI/Flask).
• Frameworks: LangChain, LlamaIndex, OpenAI/Azure OpenAI APIs, Hugging Face.
• Infrastructure: Docker, Kubernetes, CI/CD pipelines for model/prompt deployment.
• Data retrieval: Vector Database integration (e.g., Pinecone/Milvus) for RAG implementations.

Candidate Profile

1. Engineering Rigor (6‑10+ Years Experience) – Strong background in software engineering with a recent, specialized focus on deploying Large Language Model (LLM) applications in production environments. Distinguish between “prototyping” and “engineering,” valuing reproducibility, logging, and error handling.
2. Financial Domain Literacy – Technologist first, but appreciate the nuance of financial markets. Understand that in Wealth Management, accuracy is a fiduciary responsibility. Capable of distinguishing between different asset classes and understanding the gravity of investment advice.
3. Commitment to Governance – View compliance not as an obstacle, but as a critical design constraint. Experienced in implementing “Human‑in‑the‑Loop” systems and automated validation checks to prevent toxicity or data leakage.
4. Autonomy & Technical Leadership – Reporting to a non‑technical domain expert, expected to define technical standards and architectural choices for the unit. Work independently and justify engineering decisions based on trade‑offs between cost, latency, and accuracy.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non‑merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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