Join Sutter’s Center for Applied AI to 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), and guide build-vs-buy decisions and vendor integrations
Create reference architectures, and ensure solutions deliver measurable improvements in outcomes, efficiency, and user experience.
Requirements
Bachelor's: Computer Science, Information Technology, or related field
8 years of recent relevant experience
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
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.
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