Key Customers Solutions Architect (Cloud & AI Infra)
Job DescriptionJob DescriptionAbout 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.
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Company Type: Publicly traded
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Product: AI-centric GPU cloud platform & infrastructure for training AI models
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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 Key Customers Solution Architect to join our client's team. This role offers the chance to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to sustainable AI infrastructure development.
What You'll Do
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Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML challenges
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Guide customers in optimizing GPU performance for ML training and inference workloads, and being a single point of technical expertise for users
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Partner with the sales team to identify new opportunities and promote the latest products
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Act as a bridge to product teams, providing customer feedback and ensuring alignment with customer requirements
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Engage with stakeholders, negotiate solutions, and drive alignment to address customer challenges
What You Bring
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5+ years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads
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Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible
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Experience with Kubernetes and Python programming
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Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)
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Customer-centric approach with a proven ability to build trust and foster long-term relationships
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Strong ability to explain technical concepts to technical and non-technical audiences
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Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)
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Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
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Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers
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Strong project management skills, with the ability to prioritize tasks and deliver on deadlines
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Proven experience mentoring technical teams and driving team growth
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Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration
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Legal authorization to work in the United States on a full-time basis without sponsorship
Key Attributes for Success
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Passion for AI and transformative technologies
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A genuine interest in optimizing and scaling ML solutions for high-impact results
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Results-driven mindset and problem-solver mentality
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Adaptability and ability to thrive in a fast-paced startup environment
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Comfortable working with an international team and diverse client base
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Communication and collaboration skills, with experience working in cross-functional teams
Why Join?
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Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
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Comprehensive benefits package, including 100% company-paid medical, dental, and vision coverage for employees and families
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401(k) plan with a 4% match program and stock options plan
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Flexible remote work environment
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20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
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Company-paid short-term, long-term , and life insurance coverage
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Up to $85/month for mobile and internet
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Opportunity to work with cutting-edge AI technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)
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Be part of a team operating one of the most powerful commercially available supercomputers
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Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
Interviewing Process
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Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A)
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Level 2: Virtual interview with the Hiring Manager (Skills assessment)
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Level 3: Interview with the C-level (Final round)
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Reference and Background Checks: Conducted post-interviews
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Offer: Extended to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of , , , , , , marital status, ancestry, physical or mental , genetic information, veteran status, , or expression, , or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K