AI Solutions Architect for Enterprise ML & Cloud

CoreWeave

Austin (TX)

On-site

USD 182,000 - 242,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life Insurance
Disability insurance
Health Savings Account
Tuition Reimbursement
ESPP
Mental Wellness Benefits
Parental Leave
Childcare support
401(k) with company match
Flexible PTO
Catered lunch

Job summary

CoreWeave is recruiting an Account Solutions Architect, Engaged to manage the technical relationship with existing customers across its AI platform. You will deepen platform adoption, identify expansion opportunities, and coordinate with Account Managers and Specialist Field Engineers to maximize value for customers as their AI workloads grow in production.

You will be a customer‑facing technologist with hands‑on experience training, fine‑tuning, and deploying modern LLMs, and you’ll collaborate

Qualifications

  • 4+ years in a solutions engineer or technical field role.
  • Proficiency in Python.
  • Experience deploying production LLM-powered applications.
  • Experience with at least one major cloud platform (AWS, GCP, or Azure).

Responsibilities

  • Own the technical relationship with CoreWeave customers.
  • Partner with Account Managers and Field Engineers to drive expansion.
  • Serve as trusted advisor as customers scale AI workloads.
  • Surface product feedback and proactively address blockers to ensure customer success.

Skills

Python
Model training
LLM architectures
Production LLM apps
Cloud platforms
Customer relations
Communication
Team collaboration

Tools

Kubernetes
Slurm
PyTorch
LangChain
LlamaIndex

Job description

CoreWeave is recruiting an Account Solutions Architect, Engaged to manage the technical relationship with existing customers across its AI platform. You will deepen platform adoption, identify expansion opportunities, and coordinate with Account Managers and Specialist Field Engineers to maximize value for customers as their AI workloads grow in production.

You will be a customer‑facing technologist with hands‑on experience training, fine‑tuning, and deploying modern LLMs, and you’ll collaborate

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