Account Solution Architect

About the role

As an Account Solution Architect covering Northern EMEA, you'll move across the full stack depending on what the customer needs, from ML training workflows and MLOps platforms like Weights & Biases to bare metal GPU infrastructure and physical AI deployments. This isn't a role built around a single layer of the stack, but the majority of your conversations will live in the ML layer. You'll be expected to go deeper than most when the infrastructure conversation demands it, while staying commercially aware enough to support both new logo pursuits and in-flight account expansion. This role requires up to 40% travel. In this role, you will: Cover Northern EMEA, with a focus on the Nordics and Benelux regions (Sweden, Norway, Denmark, Finland, Netherlands, Belgium, and Luxembourg). Work closely with one Account Executive and one Account Manager as a dedicated three-person unit, supporting the full land and expand motion across the region. Lead technical discovery with prospects and existing customers to understand model training requirements, MLOps workflows, and infrastructure constraints. Design and present solutions spanning ML infrastructure, GPU compute, storage, networking, Kubernetes-based orchestration, and MLOps tooling. Run proof-of-concept engagements and architecture reviews, and see them through to a decision. Act as the internal voice of the customer, feeding technical requirements and product gaps back to Engineering and Product. Maintain clear documentation of customer architectures, solution designs, and outstanding technical questions.

Requirements

• 3+ years in a pre-sales, solutions engineering, or solutions architecture role, ideally with a focus on AI/ML platforms, cloud infrastructure, or HPC.
• Strong working knowledge of ML training and inference workflows - you understand how models are built, optimized, and deployed, not just where they run.
• Hands-on familiarity with MLOps platforms and the tooling AI teams use day-to-day, including experiment tracking, pipeline orchestration, and model serving.
• Experience with AI frameworks such as PyTorch, TensorFlow, or JAX.
• Comfortable going below the SaaS layer when the conversation demands it - GPU topology, network fabric, and cluster architecture shouldn't be unfamiliar territory.
• Hands-on experience with Kubernetes and containerized workloads at scale.
• Strong communication skills - you can adjust your register from a research engineer to a VP of Infrastructure without losing credibility at either end.
• Experience managing multiple concurrent opportunities across a geographic territory.
• Fluency in English required; proficiency in Dutch, Swedish, Norwegian, Danish, or Finnish is a plus.
• Preferred:
• Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN.
• Working knowledge of high-performance networking concepts: InfiniBand, RDMA, RoCE, TCP/IP.
• Background working directly with AI labs, research institutions, or enterprise ML teams.
• Exposure to physical AI use cases and the infrastructure requirements they bring.
• Experience with Salesforce, Jira, Confluence, or similar tools.
• You're comfortable going one layer deeper than the demo - whether that's a networking topology, a training job that won't converge, or a rack layout question from a facil

Additional Information

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 .

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