The Architect within Computational Science plays a critical role in designing, developing, and implementing advanced computing infrastructure to support the complex research needs of the university. This position applies deep technical expertise to architect high-performance computing (HPC) systems, optimize scientific workflows, and enable researchers to address data- and computation-intensive challenges across disciplines. The role ensures that system designs are aligned with the university’s strategic goals, incorporating emerging technologies to advance computational research. Working independently and collaboratively, the Architect leads the planning and execution of computing solutions, including the integration of specialized hardware, firmware, networking, and data management platforms. This position evaluates new technologies, supports system scalability, and develops custom tools or enhancements to meet evolving research demands. The Architect serves as a subject matter expert in computational methods, guiding teams and research groups in best practices for performance tuning, resource utilization, and code optimization on complex computing systems. As an advanced individual contributor, the Architect also mentors junior staff and provides technical leadership within project teams. The role is responsible for ensuring high levels of system availability and performance while maintaining strong security and compliance standards. Through strategic vision, technical excellence, and collaborative engagement with faculty and staff, the Architect enables transformative research and innovation across the university’s scientific and academic landscape.