AI & ML Infrastructure Solutions Architect (EMEA)

Weights & Biases; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

CoreWeave is seeking an Account Solution Architect for Northern Europe, Middle East, and Africa. You will work with an Account Executive and an Account Manager in a three-person team to land new accounts and expand within them.

The role centers on ML training workflows, MLOps tooling, and deep knowledge of GPU infrastructure and networking. You will engage in multi-layer conversations, deep dive into Kubernetes-based orchestration, and lead proof-of-concept engagements while traveling up to 40%

Qualifications

• 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.
• Hands‑on familiarity with MLOps platforms and the tooling AI teams use day‑to‑day, including experiment tracking, pipeline orchestration, and model serving.

Responsibilities

• Cover Northern EMEA, with a focus on the Nordics and Benelux regions.
• Work with a three-person unit to land and expand across the region.
• Lead technical discovery to understand model training requirements, MLOps workflows, and infrastructure constraints.
• Design and present solutions spanning ML infrastructure, GPU compute, storage, networking, Kubernetes orchestration, and MLOps tooling.
• Run proof-of-concept engagements and architecture reviews through to a decision.

Skills

ML training workflows

MLOps tooling

Kubernetes

English fluency

Pre-sales / solutions engineering

Tools

PyTorch

TensorFlow

JAX

NVIDIA GPUs

Job description

CoreWeave is seeking an Account Solution Architect for Northern Europe, Middle East, and Africa. You will work with an Account Executive and an Account Manager in a three-person team to land new accounts and expand within them.

The role centers on ML training workflows, MLOps tooling, and deep knowledge of GPU infrastructure and networking. You will engage in multi-layer conversations, deep dive into Kubernetes-based orchestration, and lead proof-of-concept engagements while traveling up to 40%