System Analyst (GenAI)

UNITED OVERSEAS BANK LIMITED; Singapore; On-site; SGD 220,000 - 320,000; Full time

Job summary

United Overseas Bank Limited in Singapore seeks a highly skilled GenAI leader to design and implement Agentic AI-based solutions across business units, aligning with security, compliance, and architecture standards.

The role requires deep banking domain knowledge, hands-on GenAI/LLM experience, and strong stakeholder management to drive adoption and measurable value.

Qualifications

• Bachelor's degree in Computer Science or Engineering; postgraduate management is a plus.
• Strong problem solving, analytical thinking, and solution design capabilities.
• Self-motivated, results-driven, and a collaborative team player with a passion for learning and innovation.

Responsibilities

• Design, coordinate, and implement GenAI or Agentic AI-based solutions across business units.
• Translate platform capabilities into practical use cases tailored to bank operations.
• Engage with cross-functional stakeholders to ensure governance, security, and value realization.

Skills

GenAI Platform

Stakeholder Management

Cross-functional Coordination

Communication

API Gateways

Education

Bachelor's degree in Computer Science or Engineering

Postgraduate in management

Tools

LLM orchestration

RAG patterns

Tool integration

Security & Compliance tooling

Job description

JD

Role Summary

We are seeking a highly skilled professional with deepunderstanding of enterprise-level GenAI platforms and strong business acumen inthe banking domain. The ideal candidate will play a key role in driving UOB'sGenAI initiative by designing, coordinating, and implementing GenAI or AgenticAI-based solutions across business units.

Key Responsibilities

Enterprise GenAI Platform Expertise

• Demonstrate strong technical and functional understanding of enterprise-grade Generative AI platforms.
• Translate platform capabilities into practical use cases tailored to bank operations and strategic priorities.
• Work closely with technology teams to ensure alignment with architectural, security, and compliance standards.

Banking Domain & AI Use-Case Development

• Apply knowledge of the banking domain to conceptualize impactful Agentic AI solutions.
• Identify opportunities for automation, intelligent decisioning, and AI‑driven workflow optimization.
• Develop solution blueprints that align AI capabilities with business objectives.

Stakeholder Coordination & Value Chain Management

• Engage and coordinate with cross‑functional stakeholders across business, technology, compliance, and operations.
• Establish and manage value chains and delivery frameworks for Agentic AI-driven initiatives.
• Ensure smooth adoption, governance alignment, and measurable value realization for all deployed solutions.

Domain Expertise:

• Good understanding of Banking Business Function and Processes, Enterprise GenAI architectures, tools, and platforms.
• Proven experience in banking or financial services, especially around digital transformation or AI initiatives.
• Hands‑on experience with GenAI/LLM-based solutions, preferably Agentic AI architectures.
• Excellent stakeholder management, communication, and cross-functional coordination skills.
• Ability to connect business needs with AI capabilities to deliver meaningful outcomes.

Technical Skills:

• Enterprise GenAI Platform & Architecture: Expertise around LLM orchestration, RAG patterns (hybrid search, vector DBs), tool/function calling, multi‑tenant isolation, and API gateways
• Agentic AI Design & Engineering: Analyse and understanding of multi‑agent systems with planners, critics, and executors; implement tool ecosystems ( KYC/AML services, document parsers, workflow engines), and safety guardrails (policy engines, content filters, PII redaction).
• Banking‑Grade Security, Risk & Compliance: Embed controls aligned to MAS , data residency, encryption (at rest/in transit), RBAC/ABAC, secrets management, audit trails, model/content governance (human‑in‑the‑loop), lineage, and explainability for regulated use cases (credit ops, compliance, ops risk).
• Evaluation, Observability & LangOps/MLOps: Establish eval suites around task success, hallucination, toxicity, bias, prompt/model drift detection, and continuous delivery of prompts, agents, and tools.
• Stakeholder Integration & Value Realization: Translate business workflows into AI blueprints; integrate with bank

Leadership & Communication:

Over 3 years of experience in Banking data and analytics solutions, with functional and technical delivery resposnibilities.

Excellent communication skills with both technical and non-technical stakeholders.

Proven ability to lead defect triage, resolution, and reporting processes.

Qualifications:

• Bachelor's degree in computer science, Engineering, or Post graduation in management with relevant experience
• Strong problem-solving, analytical thinking, and solution design capabilities.
• Self-motivated, results-driven, and a collaborative team player with a passion for learning and innovation.