Sutter Health's Center for Applied AI needs to design and lead end-to-end AI solutions from concept to production across clinical, operational, and enterprise workflows to translate business problems into scalable architectures and deliver measurable improvements in outcomes, efficiency, and user experience.
Requirements
- Advanced knowledge in formulating state-of-the-art enterprise strategic architecture framework plans
- Advanced knowledge in the engineering, implementation, operation, maintenance, and support of a wide range of server and storage platforms
- Expert knowledge of visualization technologies
Responsibilities
- design and lead end-to-end AI solutions from concept to production across clinical, operational, and enterprise workflows
- Partner with product, data science, engineering, cloud platform team, and clinical stakeholders to translate business problems into scalable architectures
- covering data pipelines, model development/selection, ML Ops, governance, and integration with electronic health record and cloud platforms
- Establish standards for safety, reliability, and observability (monitoring, drift, bias, and performance)
- guide build-vs-buy decisions and vendor integrations
- Create reference architectures
- ensure solutions deliver measurable improvements in outcomes, efficiency, and user experience
Other
- 8 years of recent relevant experience.
- Set priorities which accurately reflect the relative importance of job responsibilities and prioritize assignments to complete work in a timely manner.
- Analyze information, problems, situations, practices, or procedures in order to identify patterns, tendencies, and relationships resulting in the formulation of logical and objective conclusions.
- Establish and maintain cooperative working relationships with audiences across all areas and levels within Sutter Health as well as external organizations.
- Verbal and writing skills to effectively communicate with diverse groups such as: executives, managers, and subject matter experts.
- Skilled in developing documentation at a technical and user level.
