Solutions Architect, AI Cloud (US – Remote)

Lavendo Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Serve as a trusted technical advisor to enterprise clients, guiding them through the design and implementation of AI infrastructure solutions on a GPU-centric cloud platform.
• Conduct technical proof-of-concepts (PoCs), workshops, presentations, and training sessions focused on GPU cloud technologies, ML workflows, and best practices for AI model training and inference.
• Collaborate directly with clients to translate business objectives into scalable, secure, and high-performance cloud architectures using NVIDIA GPUs and associated AI infrastructure.
• Design, document, and maintain Infrastructure as Code (IaC) solutions using Terraform and Ansible to automate deployment and configuration of cloud resources.
• Optimize client AI pipelines for performance, cost-efficiency, and scalability by leveraging deep knowledge of GPU software stacks including CUDA, OpenCL, and related libraries.
• Act as the primary technical liaison between customers and internal teams including product, engineering, technical support, and marketing to resolve complex technical challenges.
• Support marketing initiatives by participating in industry events such as hackathons, conferences, and webinars to demonstrate platform capabilities and engage with the AI developer community.
• Develop and distribute technical documentation, how-to guides, and architectural diagrams to empower clients and internal teams in adopting and scaling AI workloads.
• Work remotely across the United States with full autonomy, engaging with clients in Fortune 500 companies, innovative startups, and AI research institutions.
• Contribute to the development of sustainable AI infrastructure through energy-efficient data center operations and responsible AI practices.
• Stay current with evolving trends in AI, cloud computing, and GPU technologies to provide forward-looking recommendations and drive innovation in client engagements.
• Represent the company as a subject matter expert in GPU cloud platforms, helping to shape product feedback loops based on real-world customer use cases.

🎯 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 Infrastructure as Code (IaC) tools such as Terraform and Ansible, Kubernetes, and proficiency in writing code in Python
• Solid understanding of GPU computing practices for machine learning training and inference workloads, including the GPU software stack (CUDA, OpenCL, drivers)
• 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

• 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

Skills & Technologies

Python

Kubernetes

Terraform

Senior

Remote

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Lavendo Inc.

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About Lavendo Inc.

Lavendo is a sales‑specialist recruiting firm that connects startups and scaling companies with U.S.‑based sales talent—providing sourcing, pre‑vetting, candidate matching, and hiring support across roles from SDR to Head of Sales to accelerate go‑to‑market hiring.

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