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Vice President - AI Engineer - Group Technology

NOMURA SINGAPORE LIMITED

Singapore

On-site

SGD 120,000 - 160,000

Full time

Today
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Job summary

A leading financial services firm in Singapore is seeking an experienced AI Engineering Lead to define and execute the AI engineering strategy and technical roadmap. You will lead a team of AI engineers, ensuring the successful deployment of scalable AI applications. Ideal candidates will have over 10 years in AI/ML engineering, including leadership experience, and will be proficient in modern programming languages and cloud technologies. This role offers a collaborative environment with opportunities for professional development.

Benefits

Professional development opportunities
Collaborative work environment

Qualifications

  • 10 years of experience in AI/ML engineering, including 3+ years in leadership.
  • Experience with multi-cultural, globally dispersed teams.
  • Proven experience in deploying fault-tolerant microservices.

Responsibilities

  • Define and execute AI engineering strategy and technical roadmap.
  • Lead and develop a team of AI engineers.
  • Integrate and monitor Generative AI products and solutions.

Skills

Designing AI agents using Large Language Models
Building context-aware dialogue systems
Developing APIs and SDKs for Generative AI
Deployment automation using CI/CD
Programming in Python, SQL, Unix scripting
Using cloud technologies like AWS
Collaborating with global teams
Analytical skills for problem-solving
Managing multiple AI projects
Proficiency in written and verbal communication

Education

At least a Bachelor’s degree in quantitative fields
Professional certifications in AI/ML frameworks

Tools

AWS EC2
Jenkins
GitLab
TensorFlow
Kubernetes
Job description
Department Overview

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description
  • Technical Leadership. Define and execute AI engineering strategy and technical roadmap. Architect scalable AI/ML infrastructure and deployment pipelines. Lead design reviews and establish engineering best practices for AI systems. Ensure system reliability, performance, and security across AI applications
  • Team Management & Development. Lead, mentor, and grow a team of 5-10 AI engineers . Conduct performance reviews, career development planning, and technical coaching. Foster a culture of innovation, collaboration, and continuous learning
  • Information delivery & analytics. State-of-the-art expertise across, Large Language Model (LLM) Integration, prompt engineering strategies and templates, retrieval-augmented generation (RAG) and agentic system etc.
  • AI Ops. Responsible for integration, deployment and monitoring of Generative AI products and solutions. Enabling data architecture and delivery of data-analytics AI platforms and Solutions- on-premises, cloud, and hybrid ensuring adherence and conformance to Nomura standards and policies
  • Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
  • Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset
Skills, experience, qualifications, and knowledge required
  • Previous experience in designing and developing AI agents or chatbots using Large Language Models (LLM), RAG, and agentic frameworks.
  • Hands-on experience in building context-aware dialogue systems with multi-turn conversation management features.
  • Demonstrated experience in developing and maintaining APIs and SDKs for integration of Generative AI services.
  • Experience in developing and deploying scalable, fault-tolerant microservices and server-side APIs using modern frameworks and best practices.
  • Proven experience in deployment automation using CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies and enterprise integration standards.
  • Proficiency in programming languages such as Python, SQL, and Unix scripting for AI and data processing workflows.
  • Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
  • Proficiency in React with hands-on experience in UI development a plus.
  • Experience collaborating with global and cross-functional teams across different regions and time zones to deliver AI solutions.
  • Demonstrated ability to manage multiple concurrent AI projects and meet delivery timelines in dynamic environments.
  • Experience managing stakeholder expectations of senior management.
  • Proficiency in written and verbal communication skills, including the ability to document and present complex concepts.
  • Demonstrated analytical skills to assess technical problems, evaluate data-driven insights, and recommend actionable solutions.
  • Experience reviewing system requirements, identifying optimization opportunities, and proposing enhancements aligned with organizational goals.
Education and experience
  • At least 4-year Bachelor’s degree in quantitative fields with minimum of 10 years of experience in AI/ML engineering with 3+ years in leadership, full stack engineering, preferably in financial organizations or Masters in quantitative fields (Computer Science, Computer Engineering, Statistics or similar)
  • Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
  • Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.
Nomura Competencies
Explore Insights & Vision
  • Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
Making Strategic Decisions
  • Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
Inspire Entrepreneurship in People
  • Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
Elevate Organizational Capability
  • Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
Inclusion
  • Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).
Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER:

This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 11823

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