Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience as an enterprise architect in a cloud computing environment or a customer-facing role.
Experience in cloud market insights and cloud computing across applications, infrastructure, storage, platforms, or data.
Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments/roadmaps.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Preferred qualifications:
Experience in enterprise technology buying and evaluation process as well as building, architecting, designing/implementing distributed global cloud-based systems.
Experience in network infrastructure, security, and application development and understanding of large-scale computing solutions.
Experience working with research organizations and understanding their specific needs and challenges.
Deep understanding of HPC architectures/frameworks and experience working with and deploying GPU and TPU based solutions for AI/ML workloads.
Proficiency in MLOps tools/platforms (e.g., Vertex AI, Kubeflow) and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Ability to deliver results, work cross-functionally, engage and influence audiences, and identify expansion opportunities.