CoreWeave
Account Solutions Architect - Engaged
Atlanta, GA / Austin, TX · Mid · Full-time
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About the role
- You'll represent the voice of the customer internally, surface product
- feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success.
- This role is for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production.
Responsibilities
- The Field Engineering team owns the technical relationship with every CoreWeave customer.
- We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle.
- You'll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows.
- We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all.
- You'd rather show than tell - you build the demo or PoC instead of just pitching it.
- Family-Forming support provided by Carrot
Requirements
- 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role.
- Proficiency in Python
- Experience designing and deploying production LLM-powered applications for customer use cases
- Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure)
- Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences
- Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
- Experience using Slurm or Kubernetes for ML job orchestration
- Experience with hyperparameter optimization and experiment tracking tools\
- Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts
Nice to have
- Preferred: (if applicable)
Skills
- CoreWeave is The Essential Cloud for AI™.
- CRWV) in March 2025.
- Learn more at www.coreweave.com.
- Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
Compensation
- The base salary range for this role is $182,000 to $242,000.
Benefits
- In addition to a competitive salary, we offer a variety of benefits to support your needs.
- The benefits below reflect our US-based offerings for full-time employees
- 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
- Paid Parental Leave
- for roles in other locations, benefits vary and are shared during the hiring process.
- The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process.
Company info
- Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.
- Greenfield is where we meet the next generation of those teams - net-new customers that haven't yet built on CoreWeave.
- At CoreWeave, we work hard, have fun, and move fast!
- The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave's full platform - infrastructure, Models, Weave, observability, and inference.
- You get excited by empty whiteboards -new customers, novel problems, new playbooks for AI natives.
Equal opportunity
- Equal Opportunity & Accommodations
- equal opportunity employer, committed to fostering an inclusive and supportive workplace.
Visa & Work Authorization
- Export Control Compliance
This listing is sourced directly from CoreWeave's careers page and normalized into a canonical job model.