Solutions Architect (Pre-Sales) - AI Cloud Infrastructure
ChatGPT Jobs, Los Angeles, CA, United States
Job Description
Solutions Architect (Pre‑Sales) – AI Cloud Infrastructure
Remote / Full‑time
Lavendo – Miami, FL
Salary: $225K – $315K/yr
Benefits: Medical, Dental, Vision, Life, Retirement
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.
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
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)
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
#J-18808-Ljbffr
Remote / Full‑time
Lavendo – Miami, FL
Salary: $225K – $315K/yr
Benefits: Medical, Dental, Vision, Life, Retirement
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.
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
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)
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
#J-18808-Ljbffr