Senior Account Solutions Architect

Join CoreWeave, the AI-first cloud designed specifically for AI workloads. As a Senior Account Solutions Architect, you will be the technical partner for existing customers, helping them deepen their platform adoption and scale their AI workloads in production. You will work closely with various teams, including Sales, Support, Product, and Engineering, to ensure customer success. This role is ideal for customer-focused AI practitioners who are excited to help leading AI companies deepen their partnership with CoreWeave.

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

• Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers
• 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)
• Hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures
• Proficiency in Python
• 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
• 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
• You'd rather show than tell — you build the demo or PoC instead of just pitching it
• 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
• 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)
• Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts
• 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
• Familiarity with one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• Background in ML Engineering, AI Engineering, MLOps, or LLMOps