AVP, AI Engineer, Global Financial Market Technology, Group Technology

DBS Bank Ltd; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

DBS Bank Ltd in Singapore is seeking an AVP, AI Engineer to design and implement Agentic AI, Generative AI and RAG solutions, delivering production-grade AI services and APIs. You will collaborate with data scientists and engineers to build ML models for client propensity, recommendations and behavioral analytics, ensuring scalability and observability across enterprise data sources.

The role requires hands-on AI/ML engineering with Python, data pipelines and feature engineering, plus deployment

Qualifications

• Hands-on AI/ML engineering experience deploying ML/AI in production.
• Strong Python, SQL and REST API skills.
• Experience with ML frameworks: Scikit-Learn, XGBoost/LightGBM, TensorFlow or PyTorch.
• Mandatory Generative AI experience covering RAG, Vector Search, LLM applications, Dify, and Agentic AI frameworks.
• Knowledge of data pipelines, data transformation, feature engineering, and data quality management.
• Experience with OpenShift, Docker, Kubernetes, CI/CD, and Git.

Responsibilities

• Design and develop Agentic AI, Generative AI, and RAG solutions including AI agents, orchestration, tool calling, prompt engineering, memory, reflection, and evaluation.
• Build ML and Data Science models for client propensity, recommendations, classification, ranking, behavioral analytics, and next-best-action use cases.
• Analyze structured and unstructured data, performing data exploration, feature engineering, model evaluation, and performance monitoring.
• Develop scalable, production-ready AI services and APIs and integrate them with enterprise systems and data sources.
• Build reusable AI components and frameworks to support multiple business use cases.
• Implement monitoring, observability, and evaluation capabilities while optimizing AI solutions for scalability, performance, accuracy, and cost.
• Partner with business stakeholders, product owners, data scientists, and engineers to translate Global Financial Markets requirements into AI-powered solutions.

Skills

Python

SQL

REST APIs

Generative AI

RAG

Vector Search

LLM applications

Dify

Agentic AI

Data Pipelines

Feature Engineering

Data Quality

OpenShift

Docker

Kubernetes

CI/CD

Git

XGBoost

LightGBM

TensorFlow

PyTorch

Tools

OpenShift (OCP)

Docker

Kubernetes

CI/CD

Git

Job description

## AVP, AI Engineer, Global Financial Market Technology, Group TechnologyApply: Application Development & Architecture: Singapore - Central: Full time: Posted Today: WD89514**Business Function**Group Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. **Responsibilities*** Design and develop **Agentic AI, Generative AI, and RAG solutions**, including AI agents, orchestration, tool calling, prompt engineering, memory, reflection, and evaluation.* Build **ML and Data Science models** for client propensity, recommendations, classification, ranking, behavioral analytics, and next-best-action use cases.* Analyze structured and unstructured data, performing **data exploration, feature engineering, model evaluation, and performance monitoring**.* Develop scalable, production-ready **AI services and APIs** and integrate them with enterprise systems and data sources.* Build reusable AI components and frameworks that can support multiple business use cases.* Implement **monitoring, observability, and evaluation** capabilities while optimizing AI solutions for scalability, performance, accuracy, and cost.* Partner with business stakeholders, product owners, data scientists, and engineers to translate **Global Financial Markets** requirements into AI-powered solutions. **Requirements*** Hands-on experience in **AI/ML Engineering, Data Science, or Advanced Analytics**, including deploying ML/AI solutions into production.* Strong proficiency in **Python**, SQL, and REST APIs.* Experience with ML frameworks such as **Scikit-Learn, XGBoost/LightGBM, TensorFlow, or PyTorch**.* **Mandatory Generative AI experience** covering **RAG, Vector Search, LLM applications, Dify, and Agentic AI frameworks**.* Knowledge of **data pipelines, data transformation, feature engineering, and data quality management**.* Experience with **OpenShift (OCP), Docker, Kubernetes, CI/CD, and Git**.* Preferred experience in **banking, financial services, capital markets, or wealth management**.* Advantageous experience in **recommendation/personalization engines, search and retrieval, knowledge management, MLOps/LLMOps, AI governance, and enterprise document repositories**.**Location:**DBS Asia Central**Job:**Data Technology**Schedule:**Regular**Employee Status:**Full time