Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . 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). #LIjobs 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 full-time employees; 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: careers@coreweave.com . 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.

Requirements

Must-haves

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
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)
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?
Be Curious at Your Core
Act Like an Owner
Empower Employees
#LIjobs What We Offer
Short and long-term disability insurance

Nice-to-haves

Preferred: (if applicable)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmawsgcpazurekubernetesml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness