AI Solutions Architect — End-to-End, Greenfield Accounts

CoreWeave

New York (NY)

On-site

USD 143,000 - 210,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with generous employer match
Flexible PTO
Catered lunch daily

Job summary

CoreWeave is the AI-first cloud platform where teams build and scale AI workloads. You will design custom demos, own PoCs end-to-end, and partner with sales and engineering to ensure customer success from first conversation through production and expansion.

You will work with Python and modern AI tooling, collaborating with multiple teams to translate complex concepts for customers and stakeholders, while shaping the roadmap with feedback from the field.

Qualifications

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

Responsibilities

  • Design custom demos and lead proofs of concept (PoCs) end-to-end.
  • Partner with Account Executives on the commercial motion and with Specialist Field Engineers for deep domain expertise.
  • Advise on best practices for AI workloads and represent the voice of the customer internally to shape the roadmap.
  • Shape the product roadmap based on field observations and customer feedback.

Skills

Python
Communication
Problem solving
Presentation

Tools

PyTorch
Slurm
Kubernetes
LangChain
LlamaIndex
VLLM

Job description

CoreWeave is the AI-first cloud platform where teams build and scale AI workloads. You will design custom demos, own PoCs end-to-end, and partner with sales and engineering to ensure customer success from first conversation through production and expansion.

You will work with Python and modern AI tooling, collaborating with multiple teams to translate complex concepts for customers and stakeholders, while shaping the roadmap with feedback from the field.

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