Solutions Architect ML Infrastructure
Summary
Design and optimize ML infrastructure, onboard workloads, size GPUs, and provide technical support to improve reliability and delivery speed for an AI-focused company.
You will own high-impact work across ML infrastructure design, workload onboarding, GPU sizing, and technical customer support. You will partner with engineering, infrastructure, operations, and customer teams, and improve reliability, delivery speed, and operational clarity across sites.
Responsibilities
- Own high-impact work across ML infrastructure design, workload onboarding, GPU sizing, and technical customer support
- Partner with engineering, infrastructure, operations, and customer teams
- Improve reliability, delivery speed, and operational clarity across Sesterce sites
Requirements
- Strong experience in solutions architecture or an adjacent technical field
- Clear written communication and comfort working with infrastructure teams
- Pragmatic judgment in production environments where reliability matters