FM Architect

Overview
The Consortium for Clinical Research and Innovation, Singapore (CRIS) brings together seven national R&D, clinical translation and service programmes to advance clinical research and innovation for Singapore, and establish important capabilities for a future-ready healthcare system.
The Business Entities under CRIS include:
Singapore Clinical Research Institute (SCRI)
Advanced Cell Therapy and Research Institute, Singapore (ACTRIS)
Cardiovascular Disease National Collaborative Enterprise (CADENCE)
Singapore Medical Foundation AI model (SIMFONI)
Together, CRIS makes a positive difference to Singapore patients and researchers by ensuring that these clinical research platforms and programmes are at the cutting edge of capability development and innovation. If you are as passionate as we are in clinical trials and research, we want you
SIMFONI
The Singapore Medical Foundation AI model (SIMFONI) Programme was established in 2025 to advance the safe and responsible use of Artificial Intelligence (AI) in Singapore’s public healthcare ecosystem to support healthcare professionals in providing care to patients.
SIMFONI will build up the capabilities and infrastructure to accelerate the development and deployment of large-scale machine learning models, known as Foundation models (FM) for improved healthcare outcomes.
About the Role
We are hiring an experienced Foundation Model Architect and
Engineer
for the technical execution of SIMFONI projects which focus on training, building and deploying a
Large Language Model (LLM)
for Healthcare in Singapore. This role involves end-to-end oversight of the engineering work of LLM model development and deployment, focusing on LLM architecture and training while overseeing data architecture and pipelines, infrastructure and high-performance computing, as well as the model testing and evaluation.
This role will also be responsible for
setting up and driving agile processes
to ensure alignment, visibility, and progress across the technical implementation distributed among multiple working partners, including Singapore healthcare clusters, universities as well as research institutions.
Key Responsibilities
1. LLM Technical Leadership through collaboration with Project Leads and Working Partners
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. PubMed 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
3. Agile Tech Execution Management in partnership with Product/PM Lead
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).
4. System Integration and Deployment
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
5. Security, Privacy & Compliance
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
6. Stakeholder Engagement & Technical Representation
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
Required Qualifications
Technical and Domain Expertise
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:
Evaluation and validation workflows for LLM models
Modern LLM/ML development tools and stacks (e.g., PyTorch, HuggingFace, MLFlow)
Program and People Leadership
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
Preferred Qualifications
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
What you need to know
Successful candidate will be offered a 3-year contract, renewable.We regret that only shortlisted candidates will be contacted. For more information about CRIS and the Business Entities, visit our websites below:
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