What are the responsibilities and job description for the Solutions Architect (Pre-Sales) - AI Cloud Infrastructure position at Lavendo?
About the CompanyOur 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. Built by a world-class team of engineers and AI researchers with deep expertise in hardware, software, and ML systems, they are building the foundational infrastructure that powers the next generation of AI-driven businesses worldwide.Their platform enables companies of all sizes — from Fortune 500 enterprises to cutting-edge AI startups and research institutions — to tackle real-world AI challenges without the burden of massive infrastructure investments or the need to build large in-house AI/ML teams.The MissionTo democratize access to world-class AI infrastructure, empowering 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 OpportunityAs 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 — including the latest NVIDIA hardware — helping customers design, deploy, and optimize AI workloads at scale. This is a high-visibility role at the intersection of deep technical work and strategic customer engagement, with real influence over how customers experience and adopt the platform.What You'll DoServe as a trusted technical advisor to customers throughout the full pre-sales and onboarding lifecycleLead PoCs, architectural workshops, presentations, and training sessions on GPU cloud technologies and best practicesCollaborate with customers to deeply understand their business requirements and translate them into scalable solution architecturesDesign and document Infrastructure as Code solutions, reference architectures, and technical how-to guides in collaboration with support engineers and technical writersHelp customers optimize ML pipeline performance, throughput, and scalability for efficient utilization of cloud resourcesAct as a cross-functional technical expert, bridging product, technical support, and marketing teams around customer needsRepresent the company at external events including hackathons, conferences, and webinarsWhat You Bring5–10 years of experience as a Cloud Solutions Architect, Systems/Network Engineer, Developer, or similar technical role focused on cloud computingStrong hands-on experience with IaC and configuration management tools (Terraform/Ansible preferred), Kubernetes, and PythonSolid understanding of GPU computing for ML training and inference workloads, including the GPU software stack (drivers, CUDA, OpenCL, etc.)Excellent communication skills — able to explain complex technical concepts clearly to both engineering and business audiencesCustomer-centric mindset with a track record of building trusted advisor relationshipsLegal authorization to work in the U.S. on a full-time basis without visa sponsorshipNice 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)Key Success DriversSelf-starter who thrives in fast-moving, ambiguous environments with a high degree of ownershipCollaborative by nature — able to work effectively across engineering, sales, and product teamsResults-oriented with a strong sense of accountability and follow-throughCreative problem-solver who identifies opportunities where others see obstaclesContinuously curious — eager to stay ahead of the latest developments in AI and cloud infrastructurePassionate about making world-class AI infrastructure accessible to organizations of all sizesWhy Join?Compensation & Benefits:Competitive compensation: $225,000 – $315,000 OTE equity, based on experience, skills, and location100% company-paid medical, dental, and vision insurance for employees and families401(k) with up to 4% company match and immediate vesting20 weeks paid parental leave for primary caregivers; 12 weeks for secondary caregiversRemote work reimbursement up to $85/month for mobile and internetCompany-paid short-term, long-term disability, and life insuranceFlexible remote work environmentWhy This Role:Work hands-on with cutting-edge AI infrastructure and the latest NVIDIA GPU technologyContribute to one of the most powerful commercially available AI supercomputing platformsJoin a team that operates with genuine technical depth, speed, and ownershipAbundant opportunities for professional growth in a fast-scaling global companyBe part of a mission-driven company building the infrastructure that powers the global AI economyInterviewing ProcessLevel 1: Talent Acquisition (General fit, Q&A)Level 2: Hiring Manager (Technical Deep-dive)Level 3: Technical AssignmentFinal Round: Interview with LeadershipReference & Background Checks: Conducted post-interviewsOffer: Extended to the selected candidatesWe are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.Compensation Range: $225K - $315K
Salary : $225,000 - $315,000