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Field
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. Proactively recommend appropriate RCC technologies and services. Stay current with advances in AI, HPC, GPU computing, and cloud technologies, and evaluate emerging tools for adoption at the RCC. Develops and
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Student Life Technology Solutions to support adoption and use of Marketing Cloud across Student Life units, including coordination of data feeds and integration needs. Manage the Student Life email calendar
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prototypes graduate to production and what hardening is required. Makes build, buy, and adopt decisions (within the University’s procurement framework) and owns vendor and open-source dependency strategy
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use of AI technologies. As part of the AI and Research Computing team, you will play a critical role in supporting and advancing enterprise AI services across the University. Ongoing AI Platform Support
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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reliable integrations with Microsoft cloud services. Ability to build reusable Fabric assets that support monitoring and reporting. Improve awareness of workload health, adoption, utilization, or service
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culture of innovation, operational discipline, and continuous improvement, encouraging teams to challenge legacy practices, adopt better tools and service models, and translate emerging technologies
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/design reviews, release and environment strategy, testing and quality controls) and guide adoption of platform innovations (Education Cloud, Data 360/Data Cloud, Agentforce). Customer Service Expectations
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. The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing
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to deliver secure, scalable data and analytics services.This role will design and implement enterprise infrastructure and platforms that support cloud computing, data analytics and migration from on-premise