UOB Logo

UOB

First VP, GenAI Engineer/Scientist Lead, Innovation Group

Posted 6 Days Ago
Be an Early Applicant
In-Office
Singapore
Expert/Leader
In-Office
Singapore
Expert/Leader
Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.
The summary above was generated by AI

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, be it towards the company, our colleagues or our customers.

Job Description

The team is responsible for driving operational excellence and governance in the adoption of agentic applications across the bank. This role ensures the successful implementation and maintenance of agent-based solutions by defining roadmaps, managing evaluation processes, and embedding responsible AI practices. The position partners with cross-functional teams to deliver secure, efficient, and compliant agentic operations.

Key Responsibilities

Service Operations

  • Grow the agent impact through improvement in performance, growth in capabilities and design, build, and roll out for additional users.
  • Run the operational processes for agent lifecycle management, including onboarding, configuration, and retirement of agents.
  • Monitor agent performance, uptime, and compliance with SLAs.
  • Coordinate with business, technology, and innovation teams to integrate agent workflows into incidents, problems, and change management processes.
  • Ensure robust logging, audit trails, and reporting agent actions to support transparency and regulatory requirements.
  • Drive continuous improvement of service operations through root cause analysis, automation opportunities, and performance optimization.
  • Develop and maintain SOPs, FAQs, and user guides to support agentic workflows and ensure clarity for end-users.

Agent Evaluation & Issue Triage

  • Apply evaluation frameworks for agent performance, reliability, and compliance.
  • Lead issue of triage and resolution processes for agent-related incidents.
  • Collaborate with business, technology, and innovation teams to implement corrective actions and improvements.

Prompt Fine-Tuning

  • Craft and optimize prompts, system messages, and few-shot examples to maximize model relevance, accuracy, and cost efficiency.
  • Monitor performance metrics (e.g., latency, token usage, output quality) and refine prompts or pipelines as needed.
  • Ensure prompt tuning aligns with business objectives and ethical guidelines.
  • Constantly monitor and evaluate impacts from regulatory, policy or business-directed changes and update roadmap / prompts accordingly.

Key Skills Required

Core Functional Skills

  • Performance Monitoring
  • Process Improvement
  • Service Lifecycle Management

Technical Skills

  • Strong Data Science fundamentals: Experimental design, measurement, error analysis, statistical thinking, evaluation methodology. Hands-on Python experience for prototyping and production-grade experimentation.
  • Experience with LLM & Agentic AI systems: Fine-tuning, RAG, prompt optimization, evaluation frameworks
  • Applied NLP skills: embeddings, retrieval methods, classification/extraction, calibration, and reliability concepts.
  • Responsible AI: bias testing, privacy leakage checks, audit artifacts

Qualifications & Experience

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or related field
  • 15+ years of hands‑on experience designing, building, and operationalizing end‑to‑end AI/ML systems, including data preparation, model development, deployment, and post‑production monitoring.
  • A minimum of 1-2 years of dedicated experience working on generative AI and large language model projects.
  • Hands-on experience designing prompts, tuning outputs, and integrating large language models (Claude Sonnet 3.5, GPT-class, etc.) into end-user applications.
  • Familiarity with AI Agent model evaluation techniques.
  • Ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience in the banking or financial services industry is a plus.

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.

Apply now and make a Difference

Top Skills

AI
Data Science
Llm
Nlp
Python
HQ

UOB Singapore Office

80 Raffles Place, Singapore, 048624

Similar Jobs

18 Minutes Ago
Hybrid
Singapore, SGP
Entry level
Entry level
Fintech • Mobile • Payments • Software • Financial Services
The Social Media Customer Support Associate will manage customer interactions on social media, ensuring excellent service by addressing issues and collaborating with teams.
Top Skills: Crm SystemsSocial Media PlatformsSupport Ticketing Tools
2 Hours Ago
In-Office or Remote
Singapore, SGP
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Manager, Operations Strategy will lead data-driven projects, enhance customer experiences, and improve operational efficiency across teams at Airwallex.
Top Skills: LookerSQLTableau
2 Hours Ago
In-Office or Remote
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
As Director of People Operations, you will build and manage a global People Operations function, optimize processes, ensure compliance, and improve employee experience.
Top Skills: Data AnalyticsHr SystemsProcess AutomationWorkday

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account