Intelligent Automation Engineer – Epic Workflows
The University of California, San Diego
About this position
Position Description
UC San Diego Health is on a journey to build and mature enterprise intelligent automation and 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 intelligent automation efforts is grounded in the quadruple aim, using AI-enabled technologies to 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, automation, and AI-driven decisioning to reduce administrative burden, enable more efficient operations, and allow clinicians and staff to spend more time on direct patient care. Central to this strategy is the Mission Control vision, which brings together real-time data, automation, and applied AI to provide system-wide insight and coordinated action across the care continuum, including population health. This includes delivering targeted solutions across the health system while also establishing a centralized capability for system-level assessment, prediction, and action. This work is being developed under an enterprise Intelligent Automation Center of Excellence (CoE) model, enabling coordinated design, governance, and scaling of automation and AI solutions across a multi-platform, multi-vendor ecosystem. The technology landscape supporting this work 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 role emerged from the Jacobs Center for Health Innovation and now operates within UC San Diego Health Information Services under shared leadership with JCHI, sharing data, infrastructure, and strategic direction while maintaining close ties to translational innovation and supporting enterprise operations at scale. Position and Team: UC San Diego Health is seeking an Intelligent Automation Engineer (Epic & Workflow Integration) to design, build, configure, and optimize intelligent automation agents across enterprise platforms including Notable Health, Epic Agent Factory, UiPath, and related orchestration systems. This role focuses on integrating intelligent automation within Epic and related clinical systems, including workflow design, configuration, and bidirectional integration between Epic and external automation platforms. The engineer works closely with the Intelligent Automation Product Manager to translate operational use cases into production-ready automation agents that integrate across multimodal environments and are seamlessly embedded into clinical and operational workflows. This role focuses on building enterprise-scale, AI-enabled, cross-platform automation and decision systems that extend beyond traditional RPA to include agentic, event-driven, and workflow-integrated automation operating across multiple platforms and environments. The position operates within a multidisciplinary team that includes data scientists, product managers, cloud engineers, and enterprise platform specialists. The position reports to the JCHI Co-Director within UC San Diego Health Information Services. This is a senior technical role that requires deep expertise in Epic applications and workflow integration, along with the ability to independently lead complex automation initiatives involving EHR systems. 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 automation solutions that drive measurable efficiency gains and sustained system-wide operational impact. The role includes designing workflow-integrated automation with appropriate human-in-the-loop controls, ensuring safe failure handling, auditability, and alignment with clinical and operational risk considerations. As part of the broader intelligent automation team, this role contributes to advancing the organization’s automation governance framework and ensuring safe, scalable, and high-performing deployment of automation solutions in clinical environments, including continuous monitoring, performance optimization, and coordination of workflows across Epic and external systems in complex, multi-platform environments. What We're Looking For: The ideal candidate brings strong experience with Epic applications and EHR-integrated solutions, with demonstrated ability to design and implement workflows that incorporate intelligent automation within clinical and operational settings. Experience working with automation platforms such as Notable Health, UiPath, AWS-based services, Microsoft Power Automate, or similar tools is strongly desired, along with the ability to integrate these solutions effectively within Epic-driven workflows. Candidates should demonstrate strong capabilities in workflow design, system configuration, and healthcare integration, including experience with HL7, FHIR, APIs, and bidirectional integration between Epic and external platforms. Experience designing automation solutions that are embedded within clinical workflows, including handling exceptions, escalation pathways, and user interaction points, is highly desired. Successful candidates will also demonstrate broad familiarity with enterprise health system operations, including clinical workflows, care coordination, and operational processes. The role requires the ability to collaborate effectively across clinical, operational, technical, and vendor stakeholders, and to contribute to workflow and integration strategy in environments where usability, reliability, performance, and patient safety must coexist.
Qualifications
Eleven (11) years of related experience, education/training, OR a Bachelor’s degree in related area plus seven (7) years of related experience/training. Related experience includes software engineering, cloud application development, enterprise systems integration, intelligent automation platform configuration, API design and development, or related technical disciplines in healthcare or similarly complex enterprise environments. Expert knowledge of secure software development. Expert skills associated with software design, development and deployment of diverse and complex software of campus wide / medical center, institution-wide and/or multi-institutional scope. Demonstrated ability to code software of high complexity / derive algorithms on technical platforms. Demonstrated ability to engage in performance / integration testing, business and technical analysis, data analysis and data modeling of high complexity. Expert skills and experience in recommending changes development, maintenance and software standards and processes. Demonstrated ability to effectively communicate with executive-level management on a regular basis. Experienced mentor and leader of software development teams. Demonstrated ability to understand functional needs and how systems can support those needs. Demonstrated ability to develop conversion and system implementation plans. Expert experience with identification and use of code libraries and open-source forums. Experience with planning for deployment and creation of feedback mechanisms. Demonstrated software repository skills. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Demonstrated complex problem-solving skills.
Job Location
Towne Centre Drive