
Job description
About the role Take the lead in shaping a company's AI architecture by leveraging diverse frameworks and deployment models to define and implement a comprehensive AI strategy. AI architects collaborate closely with various teams, including data scientists, machine learning operations, company leadership, and other key stakeholders. In this role, you’ll play a pivotal part in guiding organizations through the integration of AI into their current systems while preparing them for innovative programs and applications to stay ahead of emerging trends. Responsibilities • Designing and developing AI models, systems, and infrastructure to enhance organizational processes and deliver impactful consumer products. • Partnering with IT teams, data scientists, and leaders to facilitate digital transformation initiatives. • Creating systems that seamlessly integrate with existing organizational platforms for teams, departments, or companies. • Leading the development of AI-focused applications and overseeing programming teams. • Deploying machine learning models and converting them into APIs for diverse applications. • Shaping AI architecture strategies and advising leadership on selecting compatible technologies. • Working with security teams to identify and mitigate potential risks while implementing AI solutions in alignment with ethical standards. Benefits • Work From Home • Competitive compensation package Join us in our mission to revolutionize healthcare. If you are excited about the opportunity to shape the future of healthcare technology and lead a team of top-tier engineers, we want to hear from you. • About the Role • What You Will Do • About You • About iEHR • Benefits About the company iEHR is an AI-driven, FHIR®-native Unified Digital Health Platform (UDHP), empowering healthcare organisations to drive innovation forward. At iEHR, we have a unique opportunity to impact the lives of patients and speed medical research and innovation.
Requirements
• Expertise in machine learning models and natural language processing • Proficiency in AI infrastructure, application deployment, and operational processes • Strong understanding of data management and governance principles • Familiarity with tools such as Kubernetes and Git • Skilled in data system design and deployment • Competence in analytics and programming tools, including Python and R • Awareness of the latest trends in AI technology and innovation Nice to have • Knowledge of HL7 FHIR