Job Title: AI Engineer

Corporate Title: Associate

Department: Group Technology

Location: Singapore

Licensed Role: No

Company overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com

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:

• 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:

Core Skills requirement:

• Proven 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 5 years of relevant data experience in data engineering /Gen AI, 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 Leadership Behaviours

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