Drimva

CoreWeave

Account Solution Architect

$143K–$210K

New York, NY +1 · Full-time · Posted Jun 8, 2026

Location
New York, NY
Manhattan, New York, United States
Experience
4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role.
Visa sponsorship
Applicants must be U.S. persons, eligible to access export-controlled information without required authorization, or eligible and reasonably likely to obtain the required U.S. government export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.

About the job

Serve as the technical partner to prospective customers, designing demos and leading proofs of concept to help AI teams adopt and scale workloads on CoreWeave.

What you'll do

  • Design custom demos and lead end-to-end proofs of concept for prospective customers.
  • Advise customers on AI workload best practices from initial technical discussions through production and expansion.
  • Partner with sales and technical teams, represent customer needs internally, and inform the product roadmap.

What they ask for

  • Proficiency in Python.
  • 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.
  • Familiarity with running AI workloads on at least one major cloud platform (AWS, GCP, or Azure).

Nice to have

  • Experience using Slurm or Kubernetes for ML job orchestration.
  • Familiarity with deep learning frameworks such as PyTorch and modern LLM tools such as VLLM, langchain / LlamaIndex.

Pay

USD 143,000 to USD 210,000 (base salary)

Tools

Python, AWS, GCP, Azure, PyTorch, VLLM, langchain, LlamaIndex

AI focus

Support customer AI workloads by advising on and demonstrating model training, fine-tuning, evaluation, deployment, and production LLM applications.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)