Cloud Solutions Architect (AI Cloud)

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Requirements:

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Solid understanding of the cloud ML tools landscape from industry leaders

Responsibilities:

• Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
• Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
• Collaborate with clients to understand their business requirements and develop solution architectures
• Design and document Infrastructure as Code solutions, technical documentation, and how-tos
• Help customers optimize pipeline performance and scalability
• Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
• Assist with marketing efforts during events such as hackathons, conferences, and webinars