Key Customers Solutions Architect (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Key Customers Solutions Architect (AI): Guiding clients in designing, deploying, and scaling AI solutions with an accent on managing large-scale GPU workloads and optimizing GPU performance for ML training and inference. Focus on troubleshooting complex AI/ML issues, identifying new opportunities, and ensuring alignment with customer requirements for cloud services.
Location: Remote (United States or Canada)
Salary: $255,000–$315,000 OTE
Company
is a cloud computing company headquartered in Amsterdam and listed on Nasdaq, focused on serving the global AI economy by providing tools and resources for AI/ML challenges.
What you will do
- Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues for key customers.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Collaborate with the sales team to identify new opportunities and deliver technical presentations for latest products.
- Act as a bridge to product teams, providing customer feedback and relaying feature requests to ensure alignment.
- Engage with internal and external stakeholders, negotiating solutions and driving alignment to address customer challenges.
Requirements
- 5–10+ years of experience in Cloud Solutions Architect, Technical Account Manager, or Customer Engineer roles with hands-on experience in cloud services and AI/ML workloads.
- 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, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
- Work remotely from the United States or Canada.
Nice to have
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills.
Culture & Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan 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, and life insurance coverage.
- Flexible working arrangements in a dynamic and collaborative environment.
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