the client is seeking a Chief Technology Officer – AI to provide strategic leadership for digital architecture and AI governance across their health system. In this inaugural executive role, the CTO – AI will serve as a key advisor bridging technical engineering and clinical practice, helping ensure that advanced analytics are ethical, secure, and integrated into inpatient and outpatient services. The position will support efforts to advance health outcomes through responsible, high-quality technology adoption across the province and the broader Atlantic Canada region.
Reporting to the CIO, the CTO – AI will lead a high-performance team to move AI initiatives from pilot to full-scale production. Responsibilities include designing scalable AI/ML operations (MLOps) platforms and making critical build-vs-buy decisions for model development, establishing frameworks for responsible AI such as ethics, bias testing, and model drift management, and implementing Zero Trust approaches to protect patient data. The role also involves ensuring interoperability with electronic health record systems using relevant healthcare standards (such as FHIR, HL7, and DICOM) and partnering with executive leadership and external stakeholders to align digital transformation with clinical safety and operational efficiency.
The ideal candidate will combine deep “builder” technical expertise with executive-level stewardship. The role typically requires 10+ years of software engineering or data science experience, including 4+ years in senior leadership. The client expects strong expertise in modern AI architectures and frameworks, along with demonstrated ability to design environments aligned with applicable privacy and health information requirements, and an asset is experience with Health Canada’s Software as a Medical Device (SaMD) context. A Bachelor’s degree in Computer Science or AI is required (with Master’s or PhD preferred), and the candidate is expected to be able to define and execute an AI roadmap that innovates at scale while maintaining regulatory and clinical trust.