Account Solutions Architect - Greenfield - France

coreweaveu; France; On-site; EUR 80,000 - 120,000; Full time

Job summary

CoreWeave is seeking an Account Solution Architect for Northern EMEA. You will join a focused three-person team with an Account Executive and an Account Manager to land new accounts and expand within them across the Nordics and Benelux regions, engaging with AI labs, research institutions, and enterprises running demanding GPU workloads.

You will cover a range of ML and infrastructure topics, from training workflows and MLOps to bare-metal GPU infrastructure, while staying commercially aware to

Qualifications

• 3+ years in a pre-sales, solutions engineering, or solutions architecture role.
• Strong working knowledge of ML training and inference workflows.
• Hands-on familiarity with MLOps platforms and tooling.
• Experience with AI frameworks such as PyTorch, TensorFlow, or JAX.
• Comfortable going below the SaaS layer—GPU topology and cluster architecture are familiar.
• Hands-on experience with Kubernetes and containerized workloads at scale.
• Strong communication skills across technical and leadership audiences.
• Experience managing multiple opportunities across a geographic territory.
• Fluency in English; additional Dutch/Swedish/Norwegian/Danish/Finnish is a plus.

Responsibilities

• Cover Northern EMEA, focusing on Nordics and Benelux.
• Work with a three-person team to land new logos and expand accounts.
• Lead technical discovery on model training, MLOps, and infra constraints.
• Design and present solutions spanning ML infra, GPU compute, storage, networking, and Kubernetes-based orchestration.
• Run proof-of-concept engagements and architecture reviews through to a decision.
• Advocate for customer needs to Engineering and Product and document architectures.

Skills

Pre-sales

Solutions architecture

AI/ML platforms

Cloud infrastructure

HPC

Excellent communication

Geographic account management

Tools

Weights & Biases

Kubernetes

PyTorch

NVIDIA GPUs

Job description

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 .

We're proud to be a Living Wage accredited Employer.

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 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.

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You're comfortable going one layer deeper than the demo - whether that's a networking topology, a training job that