Jobs · Engineering · Georgia

Account Solutions Architect - Greenfield

CoreWeave · Atlanta, GA · 4 wk ago
Engineering$182k–$242k/yrFull-time

About The Role

The Account Solutions Architect, Greenfield is the named technical partner to prospective customers across CoreWeave's full platform — infrastructure, models, Weave, observability, and inference. You'll 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. You'll partner closely with Account Executives on the commercial motion, with Specialist Field Engineers for deep domain expertise, and act as a trusted advisor on best practices for AI workloads. You'll represent the voice of the customer internally and help shape the product roadmap based on what you see in the field. This role is for customer-focused AI practitioners who are excited to bring the next generation of AI companies onto CoreWeave.

What You'll Do

  • Own the technical relationship with every CoreWeave customer, partnering with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle
  • Work hands-on with advanced AI teams as they build, train, deploy, and scale their workflows
  • Meet net-new customers that haven't yet built on CoreWeave and serve as their technical partner
  • Design custom demos and lead proofs of concept (PoCs) end-to-end
  • Act as a trusted advisor on best practices for AI workloads

Who You Are

  • 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 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)
  • Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers
  • Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences

Preferred 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 (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
  • Experience using Slurm or Kubernetes for ML job orchestration
  • Experience with hyperparameter optimization and experiment tracking tools
  • Background in ML 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 (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)

Pay

The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Benefits

  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

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