Job Description: Optomi, in partnership with a leading healthcare company, is looking for a GenAI Engineer to join their team! This role focuses on advancing the use of Azure Data Bricks, IoT architecture, and generative AI to support immersive, predictive, and interactive analytics. You will collaborate with a small core team and a global extended team to transform real-world treatment data into next-generation solutions that directly impact capital sales strategies and patient engagement. Key Responsibilities: • Drive initiatives around Azure Data Bricks, IoT streaming architecture, and data pipeline development • Develop GenAI-powered tools and workflows for predictive analytics, real-time insights, and immersive 3D data visualizations • Utilize Azure data assets for generative AI applications that enhance healthcare modeling and decision-making • Build and maintain advanced Power BI dashboards and reporting tools to support business intelligence and strategy • Work with semantic modeling and UI design for innovative patient-facing and device-centric solutions • Contribute to solutions integrated with the ILLiad platform, including support for capital equipment sales and treatment modeling • Ensure robust data governance and data quality across Salesforce and SAP data ecosystems • Collaborate cross-functionally with a global dev team (nearshore/offshore), project managers, and business stakeholders Qualifications: Required: • 10+ years of experience designing and building enterprise data pipelines • Deep expertise in Azure Data Bricks and Microsoft Azure Cloud services • Proven experience with IoT streaming architecture and handling real-time sensor data • Strong knowledge of Power BI for data visualization and reporting • Proficiency in Python, C#, and pi charge for data engineering and integration • Experience managing data governance and quality across systems like Salesforce and SAP • Solid back-end administration experience in cloud environments Preferred: • Hands-on experience implementing GenAI solutions using Azure data • Background in semantic modeling and immersive data environments • Familiarity with capital sales use cases and healthcare-focused data modeling • Working knowledge of the ILLiad platform and device-centric patient models