Solutions Architect
Core
Design, deploy, debug, and scale AI infrastructure solutions for enterprise customers using ClearML's platform.
Role type
Solutions Architect (AI Infrastructure)
Builds
Scalable, secure, and efficient AI workloads on Kubernetes and cloud/hybrid environments
Domain
AI/ML Infrastructure, Cloud Computing, Kubernetes
Deliverable
production ML models
Required skills
Kubernetes architecture and operations, Cloud platform deployment (AWS/GCP/Azure), Docker, REST APIs, Python, Technical workshops and POCs, Troubleshooting and onboarding support
Preferred skills
AI/ML infrastructure and MLOps, Distributed systems, Model training workflows, Inference serving, Pre-sales or technical consulting experience
Technologies
ClearML, Kubernetes, Docker, AWS, GCP, Azure, Python
Responsibilities
Engage with enterprise customers to understand technical challenges and goals; Design and implement scalable ClearML-based solutions; Lead technical workshops, POCs, and architecture reviews; Present complex technical concepts to business audiences; Collaborate with Product, Engineering, and Customer Success teams; Provide guidance on deploying AI workloads; Troubleshoot customer environments and support onboarding
Seniority
Mid-Senior, hands-on IC