What You’ll Do:
CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. 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. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. 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.
About the role:
The Account Solutions Architect 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.
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 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: (if applicable)
- Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
- Familiarity 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)
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- You'd rather show than tell — you build the demo or PoC instead of just pitching it.
- You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives.
- You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
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 roles in other locations, benefits vary and are shared during the hiring process. These include:
- 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
California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: [email protected].
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Skills Required
- 4+ years 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 technical problems with enterprise customers
- Excellent written and verbal communication and presentation skills
- Ability to meet export control requirements (U.S. person or eligible to access export controlled information / obtain authorization)
- Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
- Familiarity with 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 (NVIDIA H100/H200/B200, InfiniBand, parallel file systems)
What the Team is Saying
CoreWeave Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, and mental-health resources. Feedback suggests employer-paid employee premiums and inclusive provisions (such as gender-affirming care) make coverage especially attractive.
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Retirement Support — Retirement support includes a 401(k) with company matching. Feedback suggests this is a dependable component of the package alongside other financial benefits.
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Flexible Benefits — Flexible PTO and hybrid/remote options are offered. Feedback suggests flexibility is supported by employer-verified language even as on-site hubs remain important.
CoreWeave Insights
What We Do
CoreWeave, the AI Hyperscaler™, delivers a cloud platform of cutting-edge software powering the next wave of AI. The company's technology provides enterprises and leading AI labs with cloud solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers across the US and Europe. CoreWeave was ranked as one of the TIME100 most influential companies and featured on Forbes Cloud 100 ranking in 2024. Learn more at www.coreweave.com.
Why Work With Us
At CoreWeave we work hard, have fun and move fast! Today we are a small, growing team of intelligent, genuine people, that value different perspectives and approaches to solving complex problems. We foster an environment that champions collaboration and prioritizes innovative solutions. Here, you are surrounded by the best.
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Employees engage in a combination of remote and on-site work.
