Job Description

Key Responsibilities

Lead the research, design, and deployment of LLM-based and agentic AI solutions to address clinical and operational challenges
Design and maintain automated data pipelines and prompt engineering workflows to support LLM application development
Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness for retrieval-augmented generation (RAG) pipelines
Apply advanced natural language processing methods to explore and extract insights from large healthcare datasets
Develop and deploy LLM-powered applications and agentic AI systems, including multi-agent orchestration frameworks
Design and implement LLM-powered solutions for care pathway optimisation, clinical decision support, and automated documentation
Provide advanced AI development support for clinical research and quality improvement initiatives
Collaborate with GTO and AIO for integration of LLM solutions with existing clinical platforms and data infrastructure
Develop application performance monitoring frameworks and explainability outputs to assess solution effectiveness and communicate findings clearly to non-technical clinical and operational audiences

Monitor data integrity through systematic validation and quality checks
Identify patterns, trends, and correlations in healthcare data
Prepare clear reports and intuitive visualisations for both technical and non-technical stakeholders
Collaborate across teams to understand and address data needs

Ensure compliance with Data Governance Guidelines, PDPA, HBRA, and relevant regulations
Implement data security measures, access controls, and secure data-sharing protocols
Process database access and data extraction requests, including anonymisation
Ensure responsible and ethical AI/LLM implementation