Account Solutions Architect - Engaged

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do

CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads. The Field Engineering team owns the technical relationship with every CoreWeave customer. We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle. You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows. Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave. 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.

About the role

The Account Solutions Architect, Engaged is the named technical partner to existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference. You’ll help AI teams 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 customers scale their AI workloads in production. 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 the customer 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 are excited to help leading AI companies deepen their partnership with CoreWeave and scale the next generation of AI workloads in production.

Who You Are

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

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