Account Solutions Architect - Greenfield

Weights & Biases Weights & Biases · Data AI · San Francisco, CA · Global Field Organization

CoreWeave is seeking an Account Solutions Architect to be the technical partner for prospective AI customers, helping them design, build, and scale AI workloads on CoreWeave's platform. This role involves leading PoCs, acting as a trusted advisor on AI best practices, and translating customer needs into technical solutions. The ideal candidate has hands-on experience with training, fine-tuning, evaluating, and deploying deep learning models, particularly LLMs, and designing production LLM-powered applications.

What you'd actually do

  1. Owns the technical relationship with every CoreWeave customer.
  2. Partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle.
  3. Work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows.
  4. Help AI teams solve real-world problems by designing custom demos, leading proofs of concept (PoCs) end-to-end, and acting as a trusted advisor on best practices from the first technical conversation through production and expansion.
  5. Represent the voice of the customer internally and help shape the product roadmap based on what you see in the field.

Skills

Required

  • Python
  • Training deep learning models
  • Fine-tuning deep learning models
  • Evaluating deep learning models
  • Deploying deep learning models
  • Modern LLM architectures
  • Designing production LLM-powered applications
  • Customer use cases
  • Cloud platform experience (AWS, GCP, or Azure)
  • Breaking down and solving complex technical problems
  • Enterprise customers
  • Written and verbal communication
  • Presentation skills
  • Translate technical concepts for engineering and executive audiences

Nice to have

  • Cloud infrastructure for AI workloads
  • GPU compute
  • High-performance networking
  • Storage
  • Deep learning frameworks (PyTorch)
  • Modern LLM stack (VLLM, langchain / LlamaIndex)
  • Slurm or Kubernetes for ML job orchestration
  • Hyperparameter optimization
  • Experiment tracking tools
  • ML Engineering
  • AI Engineering
  • MLOps
  • LLMOps
  • Technical pre-sales
  • Solutions architecture
  • Net-new logos
  • Greenfield accounts
  • High-performance GPU infrastructure (NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)

What the JD emphasized

  • Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures
  • Experience designing and deploying production LLM-powered applications for customer use cases
  • Proficiency in Python
  • 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role

Other signals

  • AI-first cloud platform
  • purpose-built for AI workloads
  • work hands-on with advanced AI teams
  • designing custom demos
  • leading proofs of concept (PoCs) end-to-end
  • trusted advisor on best practices for AI workloads
  • customer-focused AI practitioners
  • designing and deploying production LLM-powered applications