Job Description
Job Description Solutions Architect (Pre-Sales) - AI Cloud Infrastructure Lavendo - Miami, FL Remote Machine Learning & Artificial Intelligence Full-time Salary: $225K - $315K/yr Benefits: Medical, Dental, Vision, Life, Retirement Posted 11 hours ago Job Description About the Company Our client is a fast-growing, publicly traded AI cloud infrastructure company with a global footprint spanning R&D hubs across North America, Europe, and Israel. They are building the foundational infrastructure that powers the next generation of AI-driven businesses worldwide. Cloud Storage Discover more Recruitment & Staffing Development Tools Data Management The Mission To democratize access to world-class AI infrastructure. The Opportunity As a Cloud Solutions Architect (Pre-Sales) specializing in Cloud Infrastructure and MLOps, you will be a key technical partner to some of the most innovative AI teams in the world. You'll work hands-on with state-of-the-art GPU infrastructure, helping customers design, deploy, and optimize AI workloads at scale. What You'll Do Serve as a trusted technical advisor to customers. Lead PoCs, architectural workshops, presentations, and training sessions. Collaborate with customers to understand their requirements and translate them into scalable solution architectures. Design and document Infrastructure as Code solutions. Help customers optimize ML pipeline performance. Act as a cross-functional technical expert. Represent the company at external events. What You Bring 5–10+ years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computing. Strong hands-on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and Python. Solid understanding of GPU computing for ML training and inference workloads. Excellent communication skills. Customer-centric mindset. Legal authorization to work in the U.S. on a full-time basis without visa sponsorship. Nice To Have Job Listings Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow) Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Familiarity with the cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) Why Join? Compensation & Benefits Competitive compensation: $225,000 – $315,000 OTE + equity 100% company-paid medical, dental, and vision insurance for employees and families 401(k) with up to 4% company match and immediate vesting 20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregivers Remote work reimbursement up to $85/month for mobile and internet Company-paid short-term, long-term disability, and life insurance Flexible remote work environment Why This Role Work hands-on with cutting-edge AI infrastructure and the latest NVIDIA GPU technology Contribute to one of the most powerful commercially available AI supercomputing platforms Join a team that operates with genuine technical depth, speed, and ownership Abundant opportunities for professional growth in a fast-scaling global company Be part of a mission-driven company building the infrastructure that powers the global AI economy Interviewing Process Level 1: Talent Acquisition (General fit, Q&A) Level 2: Hiring Manager (Technical Deep-dive) Level 3: Technical Assignment Final Round: Interview with Leadership Reference & Background Checks: Conducted post-interviews Offer: Extended to the selected candidates