> Markdown version of [/jobs/ext/332845-account-solution-architect](https://www.wearedevelopers.com/jobs/ext/332845-account-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Account Solution Architect - **Company:** CoreWeave - **Location:** London, UK - **Experience:** Experienced - **Salary:** £143,000.0 - £210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Confluence, JIRA, Software as a Service, Cloud Computing, Nvidia CUDA, Network Topologies, InfiniBand, Machine Learning, Remote Direct Memory Access, Tensorflow, Azure Machine Learning, Salesforce.Com, TCP/IP, Pytorch, Containerization, Kubernetes, Deployment Automation, Bare Metal, Machine Learning Operations, Hardware Infrastructure - **Published:** June 6, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=6419e8216cfc5417 ## About the Role Do you have experience in TensorFlow?, * 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 won't converge, or a rack layout question from a facilities team. * You've worked across more than one layer of the stack and find the intersections more interesting than any single discipline. * You thrive in a fast-moving environment and take ownership of your region like it's your own business. * You're a natural collaborator who makes the people around you - including your AE and AM - better at their jobs. ## Description 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., 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. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [An Applied Introduction to eBPF with Go](https://www.wearedevelopers.com/videos/1075-an-applied-introduction-to-ebpf-with-go) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)