Europe Arbeitnow ·
full-timeAccount Solution Architect
Coreweave · London
CoreWeave operates as a specialized cloud provider focused on high-performance infrastructure for artificial intelligence and machine learning workloads. As an Account Solution Architect based in London, you will serve as the technical lead within a dedicated three-person account team, covering the Northern EMEA region. This role involves partnering with an Account Executive and an Account Manager to drive new business and manage existing client expansions. Your day-to-day responsibilities will require you to engage in deep technical discovery, designing solutions that integrate GPU compute, storage, networking, and Kubernetes-based orchestration. You will act as a bridge between the customer and internal engineering teams, leading proof-of-concept engagements and providing technical guidance on model training and MLOps workflows. The position is well-suited for professionals with a background in pre-sales or solutions engineering who possess a strong grasp of the full AI stack. You should be comfortable discussing complex infrastructure topics, such as cluster networking and GPU topology, while maintaining a commercial focus to support business growth. This role requires up to 40% travel across the Nordics and Benelux regions.
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: The infrastructure powering the AI era doesn’t sell itself, and the customers building on it don’t want to be sold to. They want a peer. You’ll work as part of a focused three-person team alongside one Account Executive and one Account Manager, together responsible for landing new accounts and expanding within them across the region. The customers you’ll work with are AI labs, research institutions, and enterprises running some of the most demanding GPU workloads in the world. This is a role for someone who shows up with substance, who can hold a real conversation about model training and MLOps tooling in the morning and cluster networking in the afternoon, and who finds the space between infrastructure and application more interesting than either on its own. 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. Who You Are: 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
| Role | Account Solution Architect |
|---|---|
| Company | Coreweave |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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