IT Architect
IT Architect
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Job Description
Minimum Hiring Qualifications:
Bachelors 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:
Masters 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 domainspecific research needs with appropriate technical solutions.
Strong communication skills with the demonstrated ability to explain complex technical concepts to nontechnical audiences.
Demonstrated research skills and experience leading handson 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.
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
- Generous benefits including health dental vision tuition assistance and retirement plans.
- A flexible work environment that supports worklife balance.
- A knowledgesharing 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 cuttingedge technology.
- A compassionate team that values collaboration and creativity.
- A sense of purpose and accomplishment in our work.
Position Overview:
Georgia State Universitys 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 aCyberInfrastructure (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 Cores (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:
- Collaborative Research Engagement:
Partner with faculty researchers and graduate students across disciplines (e.g. natural sciences engineering social sciences humanities) to codevelop 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.
- Applied Methodology Development:
Advise on and implement advanced AI machine learning (ML) and data science techniques in research settings using both HPC and cloudnative environment
Guide research teams in experimental design reproducible workflows and the integration of computational methods into their research agendas.
- ResearchCentric Solution Design:
Support the creation and adaptation of domainspecific 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.
- Advanced Infrastructure Utilization:
Collaborate with cyberinfrastructure and systems teams to facilitate researchers access to and effective use of highperformance computing (HPC) clusters onpremises and cloudbased resources container orchestration platforms and largescale data processing frameworks
- Training Mentorship and Capacity Building:
Lead and support the development of researcher training materials handson workshops and knowledgetransfer initiatives
Build capacity in the use of computational tools data science techniques and responsible AI methodologies across the academic community.
- Research Community Engagement:
Contribute to the formation of interdisciplinary research networks:
Identify emerging computational needs.
Document use cases.
Promote best practices and facilitate knowledgesharing among interdisciplinary research groups and centers.
- Interdisciplinary Collaboration:
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).
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.
- A complete and accurate GSU application
- Resume
- Three professional references. One must be a current or former supervisor.
Employment Type
Full Time
