Account Solution Architect

Responsibilities

We are representing a confidential cloud infrastructure organization seeking an Account Solution Architect to cover Northern EMEA from London. You'll work as part of a focused three-person team alongside an Account Executive and Account Manager, together responsible for landing new accounts and expanding within them across the region. The customers you'll support are AI labs, research institutions, and enterprises running demanding GPU workloads.

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)
• 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
• Travel up to 40% across the region to support client engagements

What We're Looking For

Required 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 - 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 qualifications:

• Familiarity with NVIDIA GPU architectures 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

How We Work With You

Get A Job.ai is representing this client in their search for exceptional talent. When you apply through our platform, one of our recruiters will conduct an initial screening to understand your background and confirm fit. We'll then submit qualified candidates to our client for consideration. Please do not contact the employer directly - all communication should flow through Get A Job.ai to ensure a smooth and professional process for everyone involved.

Pay

Compensation details will be discussed during the screening process and are competitive with market rates for this role and location.

Equal Opportunity

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.