Senior AI Engineer

ocbc; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

OCBC is seeking an experienced Senior AI Engineer to design, develop and deploy scalable AI solutions. You will build agentic AI systems, multi-agent workflows, and large-scale ML pipelines while ensuring robust microservices architecture and integration via RESTful APIs.

You will mentor teams, drive architectural decisions, and collaborate with product managers and data scientists to deliver production-grade AI capabilities across platforms.

Qualifications

• AI/ML modelling in production environments
• Autonomous AI agents with tool use, planning and multi-step tasks
• Proficiency in Python and Java
• Experience with ML pipelines and experimentation
• Knowledge of microservices and APIs

Responsibilities

• Design, develop and deploy ML models and AI solutions
• Build agents with autonomous decision-making and task execution
• Develop multi-agent systems with tools, planning and memory
• Create scalable ML pipelines for training, evaluation and inference
• Implement state-of-the-art algorithms in NLP, CV, recommender systems or predictive analytics
• Lead CI/CD for ML models and ensure high availability of AI services
• Mentor engineers and promote engineering excellence

Skills

AI/ML Expertise

Agentic AI

Python

Java

TensorFlow/PyTorch

Spring Boot

Microservices

MLOps

AWS/GCP/Azure

Docker

Kubernetes

Kafka

RESTful APIs

Git

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in ML/AI (preferred)

Tools

LangChain

AutoGen

TensorFlow

PyTorch

Job description

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 orc