C

CoreWeave

Rents GPU cloud computing for AI developers

Account Solutions Architect - Engaged

Implementation & Technical Account ManagementUpdated on Nov 13
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • At least 4 years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role.
  • Proficiency in Python.
  • Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern large language model architectures.
  • Experience designing and deploying production large language model-powered applications for customer use cases.
  • Familiarity with running AI workloads on at least one major cloud platform: AWS, GCP, or Azure.
  • Ability to break down and solve complex, often novel, technical problems with enterprise customers.
  • Written and verbal communication and presentation skills, including the ability to translate technical concepts for engineering and executive audiences.

Responsibilities

  • Serve as the named technical partner to existing customers across CoreWeave’s platform, including infrastructure, Models, Weave, observability, and inference.
  • Deepen platform adoption, identify and drive expansion opportunities, strengthen relationships with key technical stakeholders, and advise customers as they scale AI workloads in production.
  • Partner with Account Managers on commercial activity, Specialist Field Engineers for domain expertise, and customer teams to maximize customer value from CoreWeave.
  • Represent the customer’s perspective internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success.

Desired Qualifications

  • Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage.
  • Familiarity with one or more deep learning frameworks, including PyTorch, and modern large language model stacks, including vLLM, LangChain, or LlamaIndex.
  • Experience using Slurm or Kubernetes for machine-learning job orchestration.
  • Experience with hyperparameter optimization and experiment-tracking tools.
  • Background in machine-learning 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, such as NVIDIA H100/H200/B200, InfiniBand networking, and parallel file systems.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

Recently Posted Jobs

Explore more opportunities at CoreWeave

See more jobs