Job description

• The role: AI Solution Architect

• Location: 100% Remote

• Contract Type: Employment contract

• Salary: up to 31 000/month

About the Company

We’re hiring for a company that delivers cutting-edge cloud, networking, and data center (on-prem) solutions, with a strong focus on ultra-low-latency performance, live streaming, and high-performance infrastructure.

Your responsibilities:

• Design and deploy large-scale GPU clusters (both on-prem and cloud-based) using Ansible, Terraform, Kubernetes, and Slurm

• Lead technical workshops, discovery sessions, and presentations for clients and internal teams

• Develop and maintain Infrastructure-as-Code modules for automating provisioning and monitoring of GPU-based resources

• Create technical documentation such as white papers, runbooks, webinars, and training materials

• Collaborate with engineering and product teams to refine solutions based on customer feedback and operational needs

What we’re looking for:

• At least 3 years of experience in DevOps or AI infrastructure involving GPUs

• Proven track record of deploying multi-node, multi-GPU clusters at scale

• Hands-on experience with infrastructure automation tools such as Ansible and Terraform

• Solid knowledge of Kubernetes and Slurm for orchestrating and scheduling GPU workloads

• Programming experience in Python or Go

• Familiarity with the ML ecosystem — models, tools, and production-grade pipelines

• Strong communication skills and ability to work across cross-functional teams

Nice to have:

• Experience building scalable, high-availability inference infrastructure

• Hands-on involvement with ML Ops pipelines (MLflow, REST APIs, PyTorch, TensorFlow, JAX)

• Ability to move ML pipelines from proof-of-concept to production environments

• Knowledge of GitOps, Docker, Helm, and CI/CD processes in the ML context

• Familiarity with tools like Hugging Face transformers, Scikit-learn, and experiment tracking best practices