Solutions Architect, AI Cloud (US – Remote)

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.

About the Company

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.

The Opportunity

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.

What You'll Do

• 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

We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.