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An established research institution seeks an IT Architect to facilitate AI and Data Science initiatives. This role bridges advanced AI frameworks with the unique needs of researchers, fostering innovation through collaboration. You'll engage with interdisciplinary teams, develop scalable machine learning workflows, and guide researchers in utilizing high-performance computing resources. Join a dynamic environment that values creativity and collaboration, and make a significant impact on the future of digital transformation in education. If you're passionate about advancing research and technology, this opportunity is perfect for you.
IT Architect
(CyberInfrastructure (CI) Facilitator - AI and Data Science)
Georgia State University
Instructional Innovation and Technology
Research Solutions
Why Work at Georgia State University (GSU)?
Georgia State University (GSU) is recognized as one of the top 5 most innovative universities by U.S. News & World Report (2025). As a thriving research institution, GSU offers a challenging and collaborative intellectual environment for its staff, faculty, graduate students, and postdoctoral fellows. Join us in our endeavors to drive digital transformation in higher education and make a meaningful impact on our community.
What Makes GSU a Great Place to Work?
What Makes the Instructional Innovation and Technology Division a Great Place to Work?
Instructional Innovation and Technology is the place to work if you desire to inspire, support, and enable innovation to advance learning, student success, research and economic impact.
Position Overview:
Georgia State University's Instructional Innovation and Technology (IIT) division is seeking a skilled professional to join our vibrant and growing team as an IT Architect, who will serve as a CyberInfrastructure(CI) Facilitator - AI and Data Science. Under the general supervision of the Associate Director, Research Solutions, this role will bridge the gap between advanced AI frameworks and the unique needs of the Advanced Research Computing Technology and Innovation Core's (ARCTIC) user communities, fostering innovation by guiding researchers in implementing scalable pipelines, machine learning workflows, and reproducible analytics.
Key Responsibilities:
The scope of responsibilities for this position will include but is not limited to the following essential duties:
*Partner with faculty, researchers, and graduate students across disciplines (e.g., natural sciences, engineering, social sciences, humanities) to co-develop and optimize computational strategies that advance scholarly research.
*Act as a bridge between domain experts and technical platforms to ensure research questions are matched with the most effective methodologies.
*Advise on and implement advanced AI, machine learning (ML), and data science techniques in research settings using both HPC and cloud-native environment
*Guide research teams in experimental design, reproducible workflows, and the integration of computational methods into their research agendas.
*Support the creation and adaptation of domain-specific AI and data science pipelines, ensuring tools and workflows are tailored to the specifications of different fields.
*Provide guidance on algorithm selection, data preprocessing strategies, and model evaluation tailored to research goals.
*Collaborate with cyberinfrastructure and systems teams to facilitate researchers' access to and effective use of high-performance computing (HPC) clusters, on-premises and cloud-based resources, container orchestration platforms, and large-scale data processing frameworks
*Lead and support the development of researcher training materials, hands-on workshops, and knowledge-transfer initiatives
*Build capacity in the use of computational tools, data science techniques, and responsible AI methodologies across the academic community.
Contribute to the formation of interdisciplinary research networks:
*Identify emerging computational needs.
*Document use cases.
*Promote best practices and facilitate knowledge-sharing among interdisciplinary research groups and centers.
*Partner with domain experts, IT staff, and external collaborators to develop and implement innovative AI and data science solutions.
*Attend relevant conferences and events to stay current with trends and foster partnerships.
Application Deadline: Applications must be submitted by June 5, 2025 (subject to change without notice).
Disclaimer:This job requisition provides a high-level job definition. It is not intended to provide a comprehensive or exclusive list of job duties. As such, job duties and/or responsibilities within the context of this job requisition may change at the discretion the employee's direct supervisor.Minimum Hiring Qualifications:
Bachelor's degree and four years of related experience; or a combination of education and related experience.
Preferred Hiring Qualifications:
Preference may be given to applicants who meet the Minimum Qualifications AND possess the following:
*Master's degree and two years of experience in developing and deploying AI/ML models, data science pipelines, or computational workflows in research or applied setting.
*Ability to effectively connect domain-specific research needs with appropriate technical solutions.
*Strong communication skills, with the demonstrated ability to explain complex technical concepts to non-technical audiences.
*Demonstrated research skills and experience leading hands-on workshops or instructional sessions.
*Experience managing infrastructure, software environments, and hardware systems in HPC and hybrid environments.
*Experience collaborating with interdisciplinary research teams and adapting computational techniques to meet diverse needs.
*Proficiency with modern computational tools and frameworks, such as Python, R, TensorFlow, PyTorch, Docker, Kubernetes, and workflow management systems.
To be fully considered for this position, all candidates at the time of submission must submit the following documents that clearly provide proof of education and relevant experience.