Automation Engineer Cloud & Integration

#139024 Intel. Automation Engineer – Cloud & Integration

Filing Deadline: Mon 4/27/2026

Reassignment Applicants: Eligible Reassignment clients should contact their Disability Counselor for assistance.

This position has the option of working a hybrid (preferred) or remote schedule.

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. 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.

The 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 (Cloud & Integration) to design, build, configure, and optimize intelligent automation agents across enterprise platforms including Notable Health, Epic Agent Factory, UiPath, and related orchestration systems. The engineer develops integration workflows that span EHR platforms, web applications, cloud services, and on‑premise systems, including API development, microservices architecture, and cross‑system orchestration. 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.

Responsibilities include designing automation systems with appropriate human‑in‑the‑loop controls, ensuring safe failure handling, auditability, and alignment with clinical and operational risk considerations. The engineer will contribute to advancing the organization’s automation governance framework, ensuring robust, scalable, secure, and high‑performing deployment of automation agents in clinical settings, including continuous monitoring, performance optimization, and coordination of workflows across complex, multi‑platform environments.

WHAT WE'RE LOOKING FOR

The ideal candidate brings expert‑level software engineering experience with demonstrated ability to design, develop, and deploy complex automation solutions across enterprise platforms in healthcare or similarly complex environments. Experience with intelligent automation platforms such as Notable Health, UiPath, Epic Agent Factory, or similar tools is essential. Candidates should be comfortable building cross‑platform automation workflows that integrate across cloud services, APIs, and on‑premise systems. Experience with AWS services, microservices architecture, event‑driven systems, and modern CI/CD practices is highly desired.

Broad familiarity with enterprise health system operations and technologies, including electronic health records, clinical and operational workflow systems, and regulatory and compliance considerations unique to healthcare automation, is required. The role requires the ability to work effectively across clinical, operational, technical, and vendor stakeholders, and to contribute to engineering strategy in environments where innovation, reliability, performance, and patient safety must coexist.

MINIMUM QUALIFICATIONS

• Eleven (11) years of related experience, education/training, OR a Bachelor’s degree in a related area plus seven (7) years of related experience/training. Related experience includes Intelligent automation/workflow RPA platforms (UiPath, Notable, etc.), Enterprise systems integration (EHRs, APIs, middleware) and/or Healthcare workflow optimization & automation.

• Expert knowledge of secure software development.

• Expert skills associated with software design, development and deployment of diverse and complex software of campuswide/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.