Account Solutions Architect - Engaged
$182,000–$242,000 year
On-siteAustin, Texas, United States
Job Summary
Own the technical relationship with existing CoreWeave customers by deepening platform adoption, driving expansion opportunities, and serving as a trusted advisor as they scale AI workloads in production. Partner with Account Managers, Specialist Field Engineers, and customer teams to solve real-world problems, surface product feedback, and address technical blockers to ensure maximum value. Represent the customer voice internally while managing the full customer lifecycle across infrastructure, models, and observability layers. This role focuses on net-new and engaged accounts, requiring hands-on problem-solving for leading AI labs and enterprises.
Required Qualifications
- 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
- 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
- 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
Desired Qualifications
- 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)
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