FM Architect & Engineer, Healthcare Foundation Model Development & Integration (SIMFONI)
- Singapore
- Permanent
- Full-time
- Singapore Clinical Research Institute (SCRI)
- National Health Innovation Centre (NHIC)
- Advanced Cell Therapy and Research Institute, Singapore (ACTRIS)
- Precision Health Research, Singapore (PRECISE)
- Singapore Translational Cancer Consortium (STCC)
- Cardiovascular Disease National Collaborative Enterprise (CADENCE)
- Singapore Medical Foundation AI model (SIMFONI)
- Setting up the principle and guideline for the technical direction for the foundation model architecture, training, fine-tuning, and evaluation strategies.
- Overseeing the integration architecture of clinical data sources (e.g. Pub Medical dataset, EMRs, local guidelines) as well as healthcare systems for continuous model development and outcome delivery
- Monitoring the progress and evaluating the outcomes of various workstreams, while overseeing the overall engineering efforts across the programme
- Data architecture & engineering (data curation, data pipelines, annotation, quality control)
- Infrastructure & high-performance compute resource planning, provisioning and distributed training environments management
- Testing & Evaluation (model validation, safety checks, alignment)
- Implementing a lightweight agile framework to manage engineering progress across distributed and cross-organizational teams, e.g. regular engineering outcome report, review and feedback loop
- Facilitating regular standup, planning sessions, retrospectives, and cross-team alignment meetings for engineering efforts and serving as the focal for engineering reporting and iteration
- Tracking tech deliverables, dependencies and risks using agile tooling (e.g. Jira).
- Overseeing the integration of the trained LLM into clinical systems and digital platforms
- Managing engineering planning for APIs, data ingestion, output delivery and downstream use cases
- Ensuring scalability, monitoring, and model reliability in production environments
- Ensuring engineering work meets standards for security, data privacy and other compliance requirements in Singapore Healthcare (e.g. PDPA, HealthTech Instruction Manual (HIM))
- Collaborating with data & security authorities to design privacy-preserved data pipelines and secure deployment and operation strategies
- Acting as the central technical point of contact across internal leadership and external partners
- Translating business and clinical requirements to technical strategies, guidelines and action plans
- Managing clear and consistent documentations and records for engineering practices and workloads
- At least 6 years' experience in engineering leadership roles, ideally in Artificial Intelligence, Machine Learning or data-focused area
- Proven experience with LLM or foundation model development, including architecture and training
- Practical understanding of:
- Cloud or HPC-based distributed LLM model training (e.g., Slurm, Kubernetes, distributed training libraries)
- Evaluation and validation workflows for LLM models
- Modern LLM/ML development tools and stacks (e.g., PyTorch, HuggingFace, MLFlow)
- Demonstrated success managing cross-functional tech teams
- Hands-on experience leading agile development in distributed setups
- Strong coordination, prioritization and risk management skills across concurrent workstreams
- Excellent written and verbal communication
- Experience in AI/ML or other tech development and deployment in healthcare, especially Singapore public health sectors
- Familiarity with healthcare tech standards, governance and clinical safety practices
- Experience managing multi-vendor or multi-partner engineering programs
- CRIS -
- SCRI -
- NHIC -
- ACTRIS -
- PRECISE -
- STCC -
- CADENCE -