Account Solution Architect

Join CoreWeave as an Account Solutions Architect, where you'll be the technical partner for existing financial services customers. You'll work with sophisticated AI and compute-intensive organizations, helping them solve real-world problems and deepen their platform adoption. This role requires a customer-focused AI practitioner with experience in financial services and a strong technical background.

• Collaborate with financial services customers to deepen platform adoption, identify expansion opportunities, and strengthen relationships.
• Serve as a trusted advisor to customers, helping them solve real-world problems and scale AI workloads in production.
• Represent the voice of financial services customers internally, surfacing product feedback and proactively addressing technical blockers.
• Experience designing and deploying production LLM-powered applications for customer use cases
• 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
• Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure)
• Proficiency in Python
• 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
• Experience
• 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
• 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)
• Experience using Slurm or Kubernetes for ML job orchestration
• Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
• Background in ML Engineering, AI Engineering, MLOps, or LLMOps
• 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
• Experience with hyperparameter optimization and experiment tracking tools\
• 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
• Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk: