Senior Account Solutions Architect

Join CoreWeave, the AI-first cloud designed for AI workloads. As a Senior Account Solutions Architect, you'll be the technical partner for existing customers, helping them deepen platform adoption and scale their AI workloads. You'll work closely with Account Managers, Specialist Field Engineers, and customer teams to ensure maximum value from CoreWeave. This role is ideal for customer-focused AI practitioners with a strong technical background and a passion for solving complex problems.

Establish and maintain technical relationships with CoreWeave customers, serving as a trusted advisor and technical partner.

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

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

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

About CoreWeave

You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them

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

Responsibilities

• Collaborate with cross-functional teams to deliver technical success across the full customer lifecycle, from onboarding to expansion.
• Identify and drive expansion opportunities by deepening platform adoption and strengthening relationships with key technical stakeholders.
• You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives

Requirements

• Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers

Proficiency in Python

• Experience designing and deploying production LLM-powered applications for customer use cases
• Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences
• 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role
• Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures
• Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure)
• You'd rather show than tell — you build the demo or PoC instead of just pitching it
• 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
• Experience with hyperparameter optimization and experiment tracking tools\
• Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)
• Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage

Preferred

• Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts
• Experience using Slurm or Kubernetes for ML job orchestration
• Background in ML Engineering, AI Engineering, MLOps, or LLMOps

Pay

USD 182,000 - 242,000