Job Description
UC San Diego Health is on a journey to build and mature enterprise applied artificial intelligence capabilities that deliver meaningful, measurable impact at scale across the health system. This work reflects a sustained organizational commitment to developing these capabilities as a core part of how care is delivered and supported. The purpose of UCSDH’s applied AI efforts is grounded in the quadruple aim, using AI-enabled technologies to simultaneously expand access to care, improve clinical and operational outcomes, enhance quality and safety, and support a better experience for both patients and care teams. A key focus is leveraging real-time data, predictive, generative, and hybrid models, and increasingly automated interventions to demonstrably achieve impact at scale across the health system. Central to this strategy is the Mission Control vision, which brings together real-time data and applied AI–driven decision support to provide system-wide insight and action across the care continuum, including population health. This initiative serves both as a delivery layer for targeted point solutions across the health system and as a centralized hub for system-level assessment, prediction, and coordinated action. The supporting technology landscape is intentionally dynamic, with an emphasis on identifying best-fit solutions over time while scaling a cohesive enterprise platform that integrates complementary tools and capabilities. This position operates within the Jacobs Center for Health Innovation and is integrated into UC San Diego Health Information Services, sharing leadership, data, and infrastructure, while driving translational innovation and supporting enterprise operations at scale. Position and Team: UC San Diego Health is seeking a Full Stack Cloud Application Engineer to design, develop, and deploy cloud-native applications that support applied AI, intelligent automation, and digital health initiatives across the enterprise. This role focuses on building production-grade applications and services within AWS and enterprise environments, enabling data-driven and AI-enabled workflows that integrate across EHR systems, web applications, and cloud platforms. The engineer works closely with data scientists to operationalize models into real-world applications, and with intelligent automation engineers to embed application logic into broader automation and orchestration workflows. This role emphasizes hands-on development of web-based applications, APIs, and data-integrated services, including secure integrations with third-party systems (e.g., OAuth2) and support for multimodal data ingestion into enterprise data environments. The position operates within a multidisciplinary environment that includes data scientists, product managers, AI/automation engineers, application developers, architects, and enterprise platform teams. The position partners closely with the existing cloud infrastructure team, which manages core services such as uptime, security, and identity and access management, while this role focuses on application-layer architecture, development, and deployment. The position reports to the JCHI Co-Director within UC San Diego Health Information Services and plays a critical role in enabling scalable, secure, and performant application delivery across the health system. This is a senior technical engineering role that requires strong full stack development capabilities and the ability to independently lead complex application development efforts. The role involves close collaboration with clinical and operational stakeholders across Hospital operations, Care Navigation Hub, Revenue Cycle, Outpatient Departments, and Population Health to design and deploy applications that support AI-driven workflows and deliver measurable impact at scale. The role includes building systems with appropriate reliability, security, and human-in-the-loop considerations, ensuring safe operation in clinical and operational environments. As part of the broader JCHI and Information Services ecosystem, this role contributes to advancing enterprise application architecture and enabling the deployment of AI-powered solutions into production environments.
