Advises leadership on new and emerging AI technologies that support the mission of UT Southwestern Medical Center. Education Bachelor's Degree in Data Science, AI, Computer Science, or a related field Experience 10+ years of experience in data, AI, and ML, with a proven track record of delivering enterprise-level AI solutions Experience with AI techniques such as natural-language processing, computer vision, deep learning tools (such as PyTorch or TensorFlow), and libraries (such as GitHub or HuggingFace) Advanced understanding of Generative AI architectures Experience with Retrieval Augmented Generation (RAG) systems Experience with SQL and NoSQL databases and their integration with AI models and RAG systems Familiarity with Azure cloud services and other cloud-based AI deployment platforms Experience with data science and ML operations, including data pipelines, model training, and CI/CD processes Experience with enterprise architecture frameworks for capturing, maintaining, and aligning AI solution architectures with broader enterprise architecture standards and business objectives Preferred Balance strategic, essential, and innovative proposals based on feasibility, resource availability, cost, funding, priority, and other factors.Support the delivery of AI solution architecture for a given initiative complying with enterprise reference architecture.Lead multi-disciplinary groups to define desired outcomes, and communicate effectively to appropriate design teams who conduct deeper assessments using business, technical, data, and application domain expertise.Translate business and technical requirements into an architectural blueprint to achieve business objectives, and document all AI solution architecture design and analysis workSupport the development and delivery of a data strategy for AI solution training, testing and deploymentCreate architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and informationLead evaluation, design and analysis for the implementation of AI solutions architecture across a group of specific business applications or technologies, based on enterprise business strategies, business capabilities, value streams, business requirements and enterprise standards.Develop data management strategies for AI model development, training and deploymentUnderstand the role of information technology as a stakeholder and enabler within the governance and oversight processes and committees across the institution.Participate in and demonstrate acumen for advisory, compliance and audit activities, including responsible AI best practices, bias detection, and adherence to regulatory or legislative requirements.Demonstrate proficiency in aggregation of use case, workload, performance, capacity, throughput, preciseness, availability, orchestration components, and other discreet considerations sufficient to reflect an informed view ready for design or implementation.Embrace a structure of demo, development, test, staging and production AI environments. Define expectations for vendors, programmers, users, and support personnel who interact in multiple personas and roles.Advise leadership and other stakeholders on configurations (implicit or explicit), guardrails, fitness, and limitations of AI technologies in a conversational manner tailored to healthcare, research, and academic aims.Work with cross-functional business and IT teams to ensure proper performance of developed or acquired assets.Foster a culture of collaboration, innovation, automation, and continuous improvement across IT and the business.Research and share emerging technologies, leading practices, and industry trends.Collaborate with business to identify appropriate solutions aligned with appropriate standards, use cases, and leading practices.Perform other duties as assigned.BENEFITS UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community.
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