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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Account Solution Architect - **Company:** Coreweave, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, File Systems, InfiniBand, Python (Programming Language), Machine Learning, Performance Tuning, Software Deployment, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Kubernetes, Slurm, Machine Learning Operations, Hardware Infrastructure - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=afb6118ea67a2981 ## About the Role Do you have experience in System deployment?, * 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role. * Experience * 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 * 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. * 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 Preferred: (if applicable) * 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) ## Description The Account Solutions Architect, Engaged, Financial Services is the named technical partner to existing financial services customers across CoreWeave's full platform: infrastructure, Models, Weave, observability, and inference. You'll work with some of the most sophisticated AI and compute-intensive organizations in the market, including quantitative trading firms, hedge funds, asset managers, and other financial institutions using AI, ML, and large-scale compute to drive business-critical outcomes. You'll help these customers solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as they scale AI workloads in production. This includes understanding how financial services customers approach model development, research velocity, evaluation, production deployment, governance, performance, reliability, and infrastructure efficiency. You'll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to ensure they are getting maximum value from CoreWeave. You'll represent the voice of financial services customers internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success. This role is for customer-focused AI practitioners who understand the demands of financial services environments and are excited to help leading quant, hedge fund, and enterprise finance teams deepen their partnership with CoreWeave and scale the next generation of AI workloads in production. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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