Join to apply for the
Key Customers Solutions Architect
role at
Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where We Work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a integral footprint with R&D; hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D; team.
The team
Customer experience at Nebius AI Cloud involves tackling customers' challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You'll not only resolve issues, but play a key role in shaping clients' business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you'll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you'll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are looking for a
Key Customers Solutions Architect
to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You are welcome to work in our office in
Amsterdam
or
remotely
from any EU country.
Your responsibilities will include:
Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues.
Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
Partner with the sales team to identify new opportunities, promote the latest products and deliver technical presentations.
Act as a bridge to product teams, providing customer feedback, relaying feature requests and ensuring alignment with customer requirements.
Engage with internal and external stakeholders, negotiate solutions and effectively drive alignment to address customer challenges.
We expect you to have:
Experience: 5+ years in roles like Cloud Solutions Architect, Technical Account Manager or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
Experience with Kubernetes and Python programming.
Solid understanding of GPU computing, including ML training, inference workloads and GPU stacks (e.g., CUDA, OpenCL).
Customer-centric approach with a proven ability to build trust and foster long-term relationships.
Strong ability to explain technical concepts to technical and non-technical audiences.
Written and spoken proficiency in English.
It will be an added bonus if you have:
Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with ML tools from NVIDIA, AWS, Azure and Google Cloud providers.
Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
Proven experience mentoring technical teams and driving team growth.
Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
We're growing and expanding our products every day. If you're up to the challenge and are excited about AI and ML as much as we are, join us!
Seniority level
: Mid-Senior level
Employment type
: Full-time
Job function
: Customer Service
Industries
: IT Services and IT Consulting
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