Account Solution Architect in London

Account Solution Architect in London

London Full-Time 110000 - 160000 £ / year (est.) Home office (partial)
CoreWeave

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, fostering innovation and collaboration.
  • Benefits: Competitive salary, flexible PTO, health insurance, and tuition reimbursement.
  • Other info: Fast-paced environment with endless growth opportunities and a supportive culture.
  • Why this job: Be at the forefront of AI technology and make a real impact in the industry.
  • Qualifications: 3+ years in solutions architecture with strong ML and cloud infrastructure knowledge.

The predicted salary is between 110000 - 160000 £ 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, 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.

Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary 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).

What We Offer: The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process.

  • 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
  • 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 center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants: California Consumer Privacy Act

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 (ADA), 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 in London employer: CoreWeave

CoreWeave is an exceptional employer that thrives on innovation and collaboration, making it an ideal place for an Account Solution Architect. With a strong focus on employee growth, the company offers a dynamic work culture that encourages independent thinking and entrepreneurial spirit, alongside comprehensive benefits including flexible PTO, tuition reimbursement, and a generous 401(k) match. Located in Northern EMEA, you will be part of a fast-paced environment surrounded by top talent, where your contributions directly impact the future of AI technology.

CoreWeave

Contact Details:

CoreWeave Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Account Solution Architect in London

Tip Number 1

Network like a pro! Get out there and connect with people in the AI and ML space. Attend meetups, conferences, or webinars where you can chat with industry folks. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio that highlights your projects and achievements in AI/ML. This could be anything from GitHub repos to case studies. When you meet potential employers, having tangible proof of your expertise can really set you apart.

Tip Number 3

Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.

Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining us at CoreWeave. Tailor your application to show how your experience aligns with our mission and values, and don’t forget to follow up after applying!

We think you need these skills to ace Account Solution Architect in London

ML Training Workflows
MLOps Platforms
GPU Infrastructure
Kubernetes
AI Frameworks (PyTorch, TensorFlow, JAX)
Networking Topology
Cluster Architecture

Some tips for your application 🫡

Show Your Passion for AI:When 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. We’re looking for specific examples that demonstrate your understanding of ML workflows and infrastructure, so don’t hold back!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without wading through fluff.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at CoreWeave

Know Your Tech Inside Out

Make sure you’re well-versed in the technical aspects of AI/ML platforms, GPU infrastructure, and MLOps tooling. Brush up on your knowledge of frameworks like PyTorch and TensorFlow, as well as Kubernetes. Being able to discuss these topics confidently will show that you can hold your own in conversations with clients.

Understand the Customer's Needs

Before the interview, research CoreWeave’s target customers and their specific needs. Familiarise yourself with the challenges faced by AI labs and enterprises running demanding workloads. This will help you tailor your responses and demonstrate that you can provide solutions that truly resonate with their requirements.

Practice Your Communication Skills

Since this role requires you to communicate effectively with both technical and non-technical stakeholders, practice adjusting your language and tone. Try explaining complex concepts in simple terms, and vice versa. This will help you build credibility and rapport during the interview.

Show Your Collaborative Spirit

CoreWeave values teamwork, so be prepared to discuss how you’ve successfully collaborated with others in previous roles. Share examples of how you’ve worked alongside account executives or managers to achieve common goals, and highlight your ability to make those around you better at their jobs.