ASUS AICS -Engineering Manager, AI Data Platforms & Multi-Agent Systems

ASUS Global Pte Ltd; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology company in Singapore seeks a visionary leader to pioneer healthcare data architecture that empowers clinical and operational excellence in the age of AI. You will architect and manage end-to-end data platforms, driving the adoption of collaborative AI architectures. Candidates should have over 8 years in data engineering, with hands-on cloud-scale experience in the healthcare sector. This role emphasizes innovation, AI collaboration, and compliance within regulated environments.

Qualifications

• 8+ years of experience in data, platform, or AI engineering roles.
• 3+ years in a leadership role managing technical teams.
• Hands-on experience with cloud-scale data lakes and healthcare data integration.

Responsibilities

• Architect and lead healthcare data platforms for AI applications.
• Drive adoption of multi-agent AI architectures for decision flows.
• Facilitate collaboration between AI agents, clinicians, and applications.

Skills

AI-driven intelligence

Data integration

Cloud-scale architecture

Compliance and privacy

Multi-agent AI systems

Innovation and collaboration

Education

Degree in Computer Science, Engineering, or related field

Job description

AICS (an ASUS company) seeks a visionary leader to pioneer the next generation of healthcare data architecture—empowering clinical, operational, and research excellence in the age of AI. Our mission: unify and harness vast, diverse healthcare data (hospital, claims, wearables, biobank, lifestyle, imaging) and deliver it at scale for actionable AI-driven intelligence and business insights.

What You’ll Do

• Architect and lead end-to-end healthcare data platforms, integrating data lake, warehouse, and mart solutions that serve a full spectrum of AI, BI, real-time, and analytics applications—designed for compliance, scale, and flexibility.

• Drive adoption of agentic and multi-agent AI architectures, where autonomous and collaborative AI agents ingest, analyze, and orchestrate data and decision flows across the data ecosystem—enabling everything from workflow automation to personalized patient care.

• Build platforms that enable collaboration between AI agents, clinicians, and applications, using advanced protocols and secure data sharing to facilitate seamless, real-time, human-in-the-loop intelligence and operational decision support.

• Ensure pipelines enable agents to ingest and harmonize structured and unstructured data from EHR, biobank, lifestyle, and population sources—powering analytics, large language models, and advanced machine learning.

• Champion a modern engineering culture: platform thinking, automation, CI/CD, prompt engineering, responsible and explainable AI, and continuous learning from the AI frontier.

About You

• Degree in Computer Science, Engineering, or related field.

• At least 8 years in data, platform, or AI engineering roles; 3+ years leading or managing technical teams.

• Hands-on experience architecting cloud-scale data lakes, warehouses, and marts, especially for healthcare, with deep familiarity in healthcare data integration, compliance, and privacy.

• Experience designing and deploying multi-agent AI systems (orchestrating specialized AI agents, generative AI, prompt engineering, retrieval-augmented generation, context-aware data orchestration) in production.

• Familiarity with interoperability standards (FHIR, OMOP), event-driven and API-based platforms, and secure, regulated healthcare data environments.

• Passion for empowering humans with AI—championing innovation, explainability, and collaboration in the design and delivery of next‑gen healthcare intelligence solutions.