At a Glance
- Tasks: Collaborate with a team to design AI solutions and engage with cutting-edge technology.
- Company: Join CoreWeave, the essential cloud for AI, trusted by innovators worldwide.
- Benefits: Enjoy competitive pay, health insurance, flexible PTO, and tuition reimbursement.
- Other info: Dynamic work culture focused on innovation and collaboration.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: 3+ years in solutions engineering with strong knowledge of AI/ML platforms.
The predicted salary is between 70000 - 90000 £ per year.
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.
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, optimised, 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 containerised 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.
Fit Qualities
- 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.
What We Offer
- Medical, dental, and vision insurance – 100% paid for by CoreWeave.
- Company‑paid life insurance.
- Voluntary supplemental life insurance.
- Short and long‑term disability insurance.
- Flexible Spending Account.
- Health Savings Account.
- Tuition reimbursement.
- Participation in Employee Stock Purchase Program (ESPP).
- Mental wellness benefits through Spring Health.
- Family‑forming support provided by Carrot.
- Paid parental leave.
- Flexible, full‑service childcare support with Kinside.
- 401(k) with a generous employer match.
- Flexible PTO.
- Catered lunch each day in our office and data centre locations.
- A casual work environment.
- A work culture focused on innovative disruption.
Equal Opportunity & Accommodations
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact careers@coreweave.com.
Export Control Compliance
This position requires access to export‑controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export‑controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Account Solution Architect employer: Weights & Biases
CoreWeave is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving AI landscape. With comprehensive benefits including 100% paid medical, dental, and vision insurance, flexible PTO, and robust employee growth opportunities such as tuition reimbursement and participation in the Employee Stock Purchase Program, CoreWeave supports its employees both personally and professionally. Located in Northern EMEA, this role provides the unique advantage of working closely with cutting-edge technology while engaging with leading AI labs and enterprises, making it a truly rewarding environment for those passionate about AI and infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Account Solution Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Weights & Biases or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Weights & Biases.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Weights & Biases.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Weights & Biases that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Account Solution Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Weights & Biases.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Weights & Biases and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Weights & Biases
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Weights & Biases uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.