Manager, Artifical Intelligence Office (Contract)

National University Polyclinics; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

National University Health System is seeking a Manager for the Artificial Intelligence Office on a contract basis. The role focuses on designing, building, and supporting backend services that power the SIMFONI Conductor platform, enabling secure deployment and governance of AI models across NUHS, NHG, and SingHealth.

You will collaborate with clinicians, engineers and national stakeholders to deliver a scalable AI platform for national healthcare adoption.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline.

Responsibilities

• Design, build, and maintain backend services powering the SIMFONI Conductor platform.
• Develop integration frameworks to onboard AI models and agents.
• Create orchestration capabilities for AI workflows and routing across services.
• Integrate with Epic, HEALIX, EAI/ESB, Tandem and cloud platforms.
• Implement governance, monitoring, audit logging, and security controls.

Job description

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Manager, Artifical Intelligence Office (Contract)

Job ID: 10681

Job Function: Administration

Institution: National University Health System

Overview

Join the Singapore Medical Foundation AI Model Programme (SIMFONI), a national initiative driving the adoption of AI across Singapore's public healthcare system.

You will play a key role in designing, building, and supporting the backend services that power the SIMFONI Conductor platform, enabling the secure deployment, orchestration, governance, and monitoring of AI models and clinical decision support solutions across NUHS, NHG, and SingHealth.

Working closely with healthcare institutions, clinicians, engineers, Synapxe, and national stakeholders, you will help deliver a scalable and secure AI platform that accelerates the adoption of AI-powered healthcare solutions at a national level.

Key Responsibilities

• Design, develop, and maintain backend services, APIs, and microservices for the SIMFONI Conductor platform.
• Build integration frameworks and connectors to onboard AI models and agents using standardized interfaces.
• Develop orchestration capabilities for AI workflow execution, routing, and response management across multiple AI services.
• Integrate platform services with healthcare and enterprise systems such as Epic, HEALIX, EAI/ESB, Tandem, and cloud platforms.
• Implement governance, monitoring, audit logging, and security controls to support compliant and accountable AI operations.
• Support solution design, technical documentation, architecture reviews, and governance processes.
• Participate in testing, deployment, troubleshooting, production support, and continuous platform improvement.
• Collaborate with clinicians, product managers, technical teams, public healthcare institutions, and external partners to deliver scalable AI solutions.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline.
• 3-5+ years of experience in backend software engineering, platform development, or system integration.
• Strong experience in developing RESTful APIs, microservices, and enterprise applications.
• Proficiency in Python, Java, C#, Node.js, or similar programming languages.
• Experience with cloud platforms such as AWS or Azure.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices.
• Experience with relational and NoSQL databases.
• Strong understanding of security, authentication, authorization, monitoring, and system reliability principles.
• Knowledge of healthcare interoperability standards (e.g. HL7, FHIR) and healthcare IT environments is advantageous.
• Excellent problem-solving, stakeholder management, and communication skills.
• Experience with AI/ML platforms, workflow orchestration, or clinical decision support systems.
• Experience supporting solution architecture reviews and enterprise governance processes.
• Professional certifications in AWS, Azure, Kubernetes, Agile, or DevOps methodologies.