Intel. Automation Engineer - Cloud & Integration - 139024

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 (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. This role focuses on developing and integrating automation workflows that span EHR platforms, web applications, cloud services, and on-premise systems, including API development, microservices architecture, and cross-system orchestration. 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. 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 model-informed 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 engineering role that requires expert-level software development capabilities and the ability to independently lead complex automation engineering projects across enterprise platforms. 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 automation systems 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 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, and candidates should be comfortable building cross-platform automation workflows that integrate across cloud services, APIs, and on-premise systems. Candidates should demonstrate strong capabilities in cloud application development, distributed systems design, and enterprise integration, including experience with AWS services, microservices architecture, event-driven systems, and modern CI/CD practices. Experience designing automation solutions that coordinate across multiple systems, including reliable orchestration, state management, and performance optimization for real-time or near real-time use cases, is highly desired.

Successful candidates will also demonstrate broad familiarity with enterprise health system operations and technologies, including electronic health records, clinical and operational workflow systems, and the regulatory and compliance considerations unique to healthcare automation. 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.

• 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: Intelligent automation / workflow RPA platforms (UiPath, Notable, etc.), Enterprise systems integration (EHRs, APIs, middleware) and/or Healthcare workflow optimization & automation (clinical, revenue cycle, or operations).

• 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.

• 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.

• Software engineering (backend/full-stack, production systems) experience.

• Cloud application development (e.g., AWS, scalable services) experience.

• Experience designing resilient, distributed automation systems, including observability (logging, tracing, monitoring), retry/fallback strategies, and idempotent workflows across enterprise environments.

• Experience implementing event-driven architectures and asynchronous processing patterns to support scalable, real-time automation across systems.

• Experience managing state and orchestration across multi-step, cross-platform workflows, including coordination of dependencies and long-running processes.

• Familiarity with secrets management, identity/authentication patterns (OAuth, service accounts), and secure system-to-system communication in enterprise environments.

• Experience operating within or contributing to a Center of Excellence (CoE) or similar enterprise model supporting multiple automation platforms and vendor solutions.

• Must be able to work various hours and locations based on business needs.

• Employment is subject to a criminal background check and pre-employment physical.