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Account Solution Architect
CoreWeave · New York, United States
About The Role
Join CoreWeave, the AI-first cloud designed specifically for AI workloads. As an Account Solutions Architect, you will be the technical partner for prospective customers, helping them solve real-world problems and guiding them through the entire customer lifecycle. You will work closely with various teams, including Sales, Support, Product, and Engineering, and represent the voice of the customer internally. This role is ideal for customer-focused AI practitioners who are excited to bring the next generation of AI companies onto CoreWeave.
- Establish and maintain technical relationships with prospective customers, acting as a trusted advisor on best practices for AI workloads.
- Design and lead custom demonstrations, proofs of concept (PoCs), and technical presentations to showcase CoreWeave's capabilities.
- Collaborate closely with sales and engineering teams to ensure successful implementation and expansion of AI solutions.
- 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role
- Experience designing and deploying production LLM-powered applications for customer use cases
- Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences
- Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures
- Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure)
- Proficiency in Python
- Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers
- Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
- Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
- Experience using Slurm or Kubernetes for ML job orchestration
- Experience with hyperparameter optimization and experiment tracking tools\
- Background in ML Engineering, AI Engineering, MLOps, or LLMOps
- Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts
- Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)
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