Account Solution Architect

Join CoreWeave, the AI-first cloud designed for AI workloads. As an Account Solutions Architect, you will be the technical partner for existing financial services customers, helping them solve real-world problems and deepen their platform adoption. You will 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 experience in financial services environments.

• Establish and maintain technical relationships with existing financial services customers, serving as a trusted advisor and technical partner.
• Collaborate with cross-functional teams, including Sales, Support, Product, and Engineering, to drive customer success and platform adoption.
• Identify and drive expansion opportunities within existing accounts, deepening platform adoption and strengthening relationships with key technical stakeholders.
• 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
• 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role
• 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
• 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)
• Experience
• Demonstrated ability to break down and solve complex, often novel, technical problems with enterprise customers
• Experience working with financial services customers, such as quantitative trading firms, hedge funds, asset managers, banks, or other enterprise finance organizations, with an understanding of their unique technical, operational, and business-critical requirements
• 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 one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• 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
• 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)
• 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