About the role
TL;DR
Lead technical presales and solution delivery for strategic customers in AI/ML workloads.
- •Nebius is seeking an experienced, customer-obsessed Solutions Architect to lead technical engagement with Nebius' most strategic customers across multiple industry segments.
- •This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership
- •from early discovery through production adoption.
- •Key Responsibilities Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic customers.
- •Serve as a trusted technical advisor to senior customer stakeholders.
- •Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.
- •Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations.
- •Partner closely with Sales, Product, Engineering, and Support to represent customer requirements and influence product roadmap decisions.
- •Requirements 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar
- •with significant customer-facing responsibilities.
- •Proven track record of end-to-end delivery of complex presales engagements.
- •Deep hands-on experience with large-scale ML-based workloads, including GPU training and inference at scale.
- •Strong expertise in cloud infrastructure and MLOps, including Kubernetes-based platforms and distributed systems.
- •Solid hands-on experience with Infrastructure as Code and configuration management (Terraform, Ansible), and strong Python skills.
Required skills
PythonKubernetesTerraformAnsibleDockerTensorFlowPyTorchAWSGoogle CloudAzure
Nice-to-have skills
KubeflowProduct Management
Domain expertise
aideveloper-tools
Benefits & perks
Competitive compensation, Career growth and learning opportunities, Flexibility and ownership, Collaborative and innovative culture, Opportunity to work on impactful AI projects, International environment and talented teams
Tech stack
PythonKubernetesTerraformAnsibleDockerTensorFlowPyTorchAWSGoogle CloudAzureKubeflow