Account Solutions Architect - Greenfield

About the Role

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’ll help AI teams solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as customers scale their AI workloads in production.

You’ll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. 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

• Serve as the named technical partner to existing CoreWeave customers across the full platform (infrastructure, Models, Weave, observability, inference).
• Help AI teams deepen platform adoption and solve real-world problems.
• Identify and drive expansion opportunities within customer accounts.
• Strengthen relationships with key technical stakeholders.
• Act as a trusted advisor for customers scaling AI workloads in production.
• Partner with Account Managers on commercial initiatives and with Specialist Field Engineers for domain expertise.
• Ensure customers maximize value from CoreWeave’s platform.
• Represent the voice of the customer internally and surface product feedback from the field.
• Proactively address technical blockers and business-critical needs to ensure customer success.

Requirements

• 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).

Skills & Attributes

• 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.

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. 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).

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 (FSA).
• Health Savings Account (HSA).
• Tuition reimbursement.
• 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.