Sr. Cloud App. Engr. (AI & Digital Health) - JCHI - 138954

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.

What We're Looking For:

The ideal candidate brings strong full stack engineering experience with demonstrated ability to design, develop, and deploy cloud-native applications in complex enterprise environments. Candidates should be comfortable building backend services, APIs, and data-driven applications that integrate across multiple systems, including EHR platforms, cloud services, and enterprise applications. Experience with AWS is essential, including building and deploying applications using modern cloud-native patterns such as serverless architectures and containerized services.

Experience working closely with data science teams to operationalize machine learning models into production applications is strongly desired, including building APIs, batch and real-time data pipelines, and user-facing applications that incorporate model outputs. Candidates should demonstrate proficiency in modern programming languages such as Python and TypeScript/JavaScript, and familiarity with frameworks used for building data-driven applications (e.g., web frameworks, Shiny, or similar tools). Experience integrating with third-party systems using secure authentication patterns such as OAuth2 is highly valuable.

Successful candidates will also demonstrate familiarity with enterprise healthcare systems and technologies, including EHR environments, integration patterns, and regulatory considerations. The role requires the ability to work effectively across technical, clinical, and operational stakeholders, and to contribute to application architecture decisions in environments where scalability, reliability, and patient safety are critical. Candidates should be comfortable building systems that support real-time decisioning, automation, and AI-enabled workflows across the care continuum.

• Eleven (11) years of related experience, education/training, OR a Bachelor's degree in related area plus seven (7) years of related experience/training.

• 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.

• Experience building internal-facing applications or lightweight platforms that enable data scientists and operational teams to interact with models, analytics, or automation systems.

• Experience designing applications that support AI-enabled workflows, including real-time inference, asynchronous processing, and integration with automation or orchestration systems.

• Experience working with data-intensive applications, including ingestion, transformation, and integration of structured and unstructured data into enterprise data lakes or analytics environments.

• Familiarity with event-driven architectures, message queues, or streaming frameworks to support real-time or near-real-time application workflows.

• Experience designing for application-level observability, including logging, monitoring, alerting, and performance tuning in distributed cloud environments.

• Familiarity with secure application design in healthcare environments, including handling PHI, authentication/authorization patterns, and auditability requirements.

• 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.

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable.

UC San Diego Health is the only academic health system in the San Diego region, providing leading-edge care in patient care, biomedical research, education, and community service. Our facilities include two university hospitals, a National Cancer Institute-designated Comprehensive Cancer Center, Shiley Eye Institute, Sulpizio Cardiovascular Center, the only Burn Center in the county, and dozens of outpatient clinics. We invite you to join our team!

Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.

Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.

a. "Misconduct" means any violation of the policies governing employee conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:

• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• Abusive Conduct in the Workplace