Engineering Manager AI Data Platforms & Multi-Agent Systems

ASUS GLOBAL PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading technology company in Singapore is seeking a visionary leader to architect next-generation healthcare data platforms. The role involves integrating diverse healthcare data sources and driving the adoption of innovative AI architectures. The ideal candidate has over 8 years of experience in data and AI engineering roles, with a strong focus on healthcare compliance. This position requires hands-on experience with cloud-scale data lakes and a passion for empowering users with AI-driven insights.

Qualifications

• 8+ years in data, platform, or AI engineering roles, with 3+ years in leadership.
• Hands-on experience with healthcare data lakes and compliance.
• Familiarity with secure, regulated healthcare data environments.

Responsibilities

• Architect end-to-end healthcare data platforms for AI-driven intelligence.
• Drive adoption of multi-agent AI architectures for workflow automation.
• Build collaboration platforms between AI agents and clinicians.

Skills

Healthcare data integration

Cloud-scale data architecture

AI systems deployment

Interoperability standards (FHIR, OMOP)

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.