At a Glance
- Tasks: Join a dynamic team to design AI solutions and engage with cutting-edge technology.
- Company: CoreWeave, the essential cloud for AI, trusted by leading innovators.
- Benefits: Comprehensive health insurance, flexible PTO, and tuition reimbursement.
- Other info: Exciting travel opportunities and a culture focused on innovation.
- Why this job: Make an impact in the AI space while collaborating with top-tier clients.
- Qualifications: 3+ years in pre-sales or solutions architecture, with strong AI/ML knowledge.
The predicted salary is between 114000 - 168000 £ 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 & BIAS 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.
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
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- 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 center locations
- A casual work environment
- A work culture focused on innovative disruption
Base Salary Range: The range for this role is $143,000 to $210,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
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.
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: Somi AI
CoreWeave is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among pioneers in the AI field. With comprehensive benefits including 100% paid medical insurance, flexible PTO, and opportunities for professional growth, employees are empowered to thrive both personally and professionally. The company's commitment to inclusivity and support, combined with its focus on cutting-edge technology, makes it an ideal workplace for those looking to make a meaningful impact in the AI landscape across Northern EMEA.
StudySmarter Expert Advice🤫
We think this is how you could land Account Solution Architect
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and cloud space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your knowledge of ML workflows and infrastructure. This will give you something tangible to discuss during interviews and make you stand out.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your knowledge of MLOps tools and GPU architectures. Be ready to dive deep into discussions about model training and infrastructure.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Make sure to tailor your application to highlight how your skills align with the role of Account Solution Architect.
We think you need these skills to ace Account Solution Architect
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and ML shine through. We want to see that you’re not just ticking boxes but genuinely excited about the technology and its potential.
Tailor Your Experience:Make sure to highlight your relevant experience in pre-sales or solutions architecture roles. We’re looking for specifics, so don’t be shy about detailing your hands-on work with MLOps platforms and GPU infrastructure.
Be Conversational:Remember, we’re after someone who can hold a real conversation. Use a friendly tone in your application, and don’t hesitate to showcase your communication skills. It’s all about connecting with us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at CoreWeave.
How to prepare for a job interview at Somi AI
✨Know Your Tech Inside Out
Make sure you have a solid grasp of ML training workflows, MLOps platforms, and GPU infrastructure. Brush up on the specifics of tools like Weights & BIAS, and be ready to discuss how they fit into the bigger picture of AI development.
✨Showcase Your Communication Skills
You’ll need to adapt your communication style depending on who you’re speaking with, from engineers to VPs. Practice explaining complex concepts in simple terms, and be prepared to dive deep when necessary.
✨Prepare for Real Conversations
Expect to engage in meaningful discussions about model training and infrastructure. Think of potential questions or scenarios that might come up during the interview, and prepare your insights and solutions accordingly.
✨Research CoreWeave's Culture
Familiarise yourself with CoreWeave’s mission and values. Understanding their focus on innovation and disruption will help you align your answers with what they’re looking for in a candidate.