Senior AI Engineer

WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

About the Role:

We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in microservices architecture and multi-language development.

Responsibilities:

AI/ML Development

Design, develop, and deploy machine learning models and AI solutions that solve complex business problems.

Build and implement agentic AI systems with autonomous decision-making, reasoning, and task execution capabilities

Develop multi-agent systems that use tools, planning, and memory.

Build and optimise large-scale ML pipelines for training, evaluation, and inference.

Implement state-of-the-art algorithms in areas such as natural language processing, computer vision, recommendation systems, or predictive analytics

Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.

Stay current with the latest AI/ML research and identify opportunities to apply emerging techniques.

Software Engineering & Architecture

Design and implement robust microservices architectures for AI/ML applications

Build scalable, maintainable, and well-documented code across multiple programming languages.

Develop RESTful APIs and event-driven systems to integrate AI capabilities into broader platforms

Ensure high availability, fault tolerance, and performance optimisation of AI services.

Implement CI/CD pipelines for automated testing and deployment of ML models.

Technical Leadership

Mentor junior engineers and data scientists on best practices in AI engineering and software development

Lead technical design discussions and contribute to architectural decisions.

Collaborate with cross-functional teams, including product managers, data scientists, and platform engineers.

Conduct code reviews and promote engineering excellence across the team

Drive technical innovation and champion the adoption of new tools and methodologies

Required Qualifications

Technical Skills

AI/ML Expertise – 5+ years of experience developing and deploying machine learning models in production environments

Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task execution

Programming Languages – Advanced proficiency in at least Python and Java.

Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc.

Experience with Spring Boot, microservices frameworks, and concurrent programming.

Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems

ML Operations – Experience with MLOps practices, model versioning, monitoring, and deployment strategies

Cloud Platforms – Proficiency with AWS, GCP, or Azure ML services and infrastructure

Additional Technical Requirements

Strong understanding of distributed systems, message queues (Kafka, etc.), and event-driven architectures

Experience with containerization (Docker) and orchestration (Kubernetes)

Knowledge of database systems (SQL and NoSQL) and data engineering concepts

Familiarity with API design principles and RESTful services

Experience with version control (Git) and collaborative development workflows

Experience

Bachelor's or master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).

Proven track record of delivering complex AI projects from conception to production

Strong problem-solving abilities and analytical thinking

Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

Experience working in agile development environments

Preferred Qualifications

PhD in Machine Learning, Artificial Intelligence, or related field

Experience with agentic AI frameworks (LangChain, AutoGen, etc.) and agent orchestration patterns

Hands-on experience implementing Agents patterns such as ReAct, Plain and Execute, etc.

Hands-on experience with advanced prompting techniques such as Chain-Of-Thought, etc.

Experience with transformer architectures and large language models (LLMs)

Knowledge of vector databases and retrieval-augmented generation (RAG) systems

Contributions to open-source AI/ML projects

Publications in top-tier AI/ML conferences or journals

Experience with real-time inference systems and model optimisation techniques

Knowledge of federated learning, edge AI, or distributed training

Familiarity with MLflow, Kubeflow, or similar ML platforms

Experience with multiple cloud providers and multi-cloud architectures

Experience with building LoRA/QLoRA, PEFT pipelines for enterprise-specific tuning

Experience implementing distributed training pipelines (Ray, FSDP, DeepSpeed, PyTorch Distributed, etc.)

Experience with integrating continuous feedback loops to improve the model incrementally

What we offer:

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.