IT Architect

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?

• Generous benefits, including health, dental, vision, tuition assistance, and retirement plans.
• A flexible work environment that supports work-life balance.
• A knowledge-sharing organization that collaborates with various partners.

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.
• Professional development opportunities to advance your career.
• The chance to work with cutting-edge technology.
• A compassionate team that values collaboration and creativity.
• A sense of purpose and accomplishment in our work.

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:

• Collaborative Research Engagement:

• 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 environments.
• 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).

Minimum Hiring Qualifications: Bachelor’s degree and four years of related experience; or a combination of education and related experience.

Preferred Hiring Qualifications:

• 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 settings.
• 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.

Georgia State University is an Equal Opportunity Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.