AI Solution Architect

Job Description

As an AI Solution Architect, you will design end-to-end GPU cluster architectures, both on-premises and in the cloud, utilizing Ansible, Terraform, Kubernetes, and Slurm. You will be responsible for leading technical deep-dives, conducting workshops, and presenting solutions to stakeholders across all organizational levels. Key activities include building and maintaining Infrastructure as Code modules to automate the provisioning, scaling, and monitoring of GPU resources. Furthermore, you will produce whitepapers, runbooks, and training materials, as well as host webinars and training sessions. You will also partner with Gcore's engineering and product teams to relay customer insights and drive product enhancements.

Qualifications

1. 3+ years in Cloud or GPU AI Infrastructure DevOps. 2. Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups. 3. Hands-on experience with Ansible or similar configuration management tools and Terraform (IaC). 4. Strong familiarity with Kubernetes (K8s) and Slurm. 5. Proficient in Python / Go. 6. Solid understanding of ML ecosystems, including models, tooling, and production deployment patterns.

Benefits

- Competitive salary - Flexible working hours - Remote, hybrid, or office work options depending on your role - Work from anywhere in the world for up to 45 days per year - Private medical insurance for you and your family* - 5 additional vacation days* - Additional fully paid sick leave days* - Allowance for significant life events and birthdays - Language classes - Modern office space with free snacks, drinks, and entertainment options* - Team sports activities*