Solutions Architect, AI Cloud (US - Remote)

External

Lavendo · San Francisco

$180K–$300K/yrFull-timeRemote6d ago

AnsibleDocumentationKubernetesPythonTerraform

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About the role

Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. Company Type: Publicly traded Product: AI-centric GPU cloud platform & infrastructure for training AI models Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.

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

What You Bring

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

Key Attributes for Success

Self-starter who thrives in a fast-paced, evolving startup environment

Collaborative team player who can work effectively across different departments and cultures

Results-oriented with a strong sense of ownership and accountability

Innovative problem-solver who can identify new opportunities for growth

Continuous learner, eager to stay updated on the latest AI and cloud computing trends

High ethical standards and integrity, with a commitment to responsible AI development

Passionate about democratizing access to AI infrastructure

Why Join?

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

Interviewing Process

Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A)

Level 2: Virtual interview with the Hiring Manager (Skills assessment)

Level 3: Interview with the C-level (Final round)

Reference and Background Checks: Conducted post-interviews

Offer: Extended to the selected candidate

Solutions Architect, AI Cloud (US - Remote)

About the role

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