> Markdown version of [/jobs/ext/4477744-senior-account-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4477744-senior-account-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Account Solutions Architect - **Company:** Coreweave Inc - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $182,000.0 - $242,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, File Systems, InfiniBand, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Platform System, Pytorch, Large Language Models, Deep Learning, Llamaindex, Kubernetes, Slurm, Machine Learning Operations, Hardware Infrastructure, VLLM - **Published:** October 13, 2026 - **Apply:** https://www.thejobnetwork.com/job/cc3be539-05af-4984-9be0-ff91a448f5a1/senior-account-solutions-architect ## About the Role - 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 on at 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 Skills:** - Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage. - Familiarity with 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).