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Key Customers Solutions Architect (Cloud & AI Infra)

USD 180000-300000
Terraform
Ansible
Kubernetes
Python
HPC

About the Company

Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.

  • Company type: Publicly traded

  • Industry: AI/ML, Cloud Computing, Infrastructure-as-Code

  • Candidate Location: Remote U.S.

Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.

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

  • Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML challenges

  • Guide customers in optimizing GPU performance for ML training and inference workloads

  • Partner with the sales team to identify new opportunities and promote the latest products

  • Act as a bridge to product teams, providing customer feedback and ensuring alignment with customer requirements

  • Engage with stakeholders, negotiate solutions, and drive alignment to address customer challenges

What You Bring

  • 5+ years of experience in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer

  • Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible

  • Experience with Kubernetes and Python programming

  • Solid understanding of GPU computing, including ML training and inference workloads

  • Strong ability to explain technical concepts to diverse audiences

  • Hands-on experience with HPC/ML orchestration frameworks and deep learning frameworks

  • Expertise in stakeholder negotiation and project management

Key Success Drivers

  • An entrepreneurial mindset with a passion for AI

  • A self-starter attitude, thriving in a fast-paced startup environment

  • Strong collaborative skills and the ability to work across departments and cultures

  • Results-oriented approach with a sense of ownership and accountability

  • Innovative problem-solving skills and a continuous learning mindset

  • High ethical standards and a commitment to responsible AI development

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 and stock options plan

  • Flexible remote work environment

  • 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers

  • Company-paid short-term, long-term disability, and life insurance coverage

  • Up to $85/month for mobile and internet

  • Opportunity to work with cutting-edge AI technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon)

  • Be part of a team operating one of the most powerful commercially available supercomputers

  • Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings

Interviewing Process

  • Level 1 - Virtual interview with the Technical Recruitment Lead (Screening)

  • Level 2 - Virtual interview with the Hiring manager (In-depth interview)

  • Level 3 - Technical Assessment (Final)

  • Reference and Background Checks: conducted after successful interviews

  • Job Offer: provided to the selected candidate

We 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.

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