Associate, AI Engineer (Singapore)

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.

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