Solutions Architect, AI Cloud

Lavendo

Cloud Solutions Architect providing technical expertise for AI-centric cloud solutions. Collaborating with clients on GPU technologies and engaging in pre-sales activities with Fortune 500 companies.

Posted 5/31/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $180,000 - $300,000 per yearWebsite

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Hard Skills

cloud solutions architectInfrastructure as Codeconfiguration managementTerraformAnsibleKubernetesPythonGPU computingCUDAOpenCL

Soft Skills

trusted advisortechnical expertisecollaborationpresentation skillstraining skillscustomer optimizationcommunication

Tools & Technologies

GPU cloud technologiescloud ML toolstechnical documentationhow-tos

Industry Keywords

cloud computingML traininginference workloadssoftware stack components

Tech Stack

Tools & technologies

AnsibleCloudKubernetesPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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, and 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
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship

Benefits

Comp & perks

Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Stock options plan
Flexible remote work environment
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to $85/month for mobile and internet
Opportunity to work with cutting-edge AI and cloud technologies
Contribute to sustainable AI infrastructure with energy-efficient data centers
Be part of a team that operates one of the most powerful commercially available supercomputers