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Solutions Architect – Enterprise
Nebius Group. Serve as the trusted technical advisor for Enterprise accounts throughout evaluation, onboarding, adoption and expansion .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Solutions Architecture and Cloud Architecture, with a strong focus on Enterprise AI adoption and the ability to design and implement cloud-native infrastructures. Proven ability to engage with high-level stakeholders and facilitate complex decision-making processes while delivering technical enablement and support.
Highest-signal resume keywords
Solutions ArchitectureCloud-Native InfrastructureKubernetesInfrastructure-As-CodeGPU Computing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud ArchitecturePlatform EngineeringSystems EngineeringAI Cloud ArchitecturesDeployment PatternsTechnical EnablementGPU PlatformsCUDAPythonTerraform
Soft Skills
Presentation SkillsFacilitation SkillsStakeholder ManagementConfidence with ExecutivesCollaboration
Tools & Technologies
KubernetesTerraformAnsibleCloud InfrastructureHigh-Performance ComputingAI PlatformsCompute and OrchestrationStorage SolutionsNetworkingSecurity
Industry Keywords
Enterprise AccountsTechnical AdvisorAI Adoption LifecycleTotal Cost of OwnershipCustomer EngagementBusiness Case DevelopmentComplex EngagementsInfrastructure ManagementDecision-Making ProcessesCustomer Experience
Tech Stack
Tools & technologiesAnsibleCloudKubernetesPythonTerraform
About the role
Key responsibilities & impact- Serve as the trusted technical advisor for Enterprise accounts throughout evaluation, onboarding, adoption and expansion
- Lead technical discovery with business and technology stakeholders, clarify success criteria and translate requirements into practical AI cloud architectures
- Design solutions across the Nebius product portfolio with attention to the Enterprise value proposition
- Plan and deliver architecture workshops, executive briefings, demonstrations, proofs of concept and technical enablement sessions
- Develop reference architectures, deployment patterns and infrastructure-as-code examples to help customers move from evaluation to production
- Build business cases with sales and customer stakeholders through complex Enterprise decision-making processes
- Coordinate with Sales, Product, Engineering, Support and Customer Experience to resolve risks, define ownership and maintain momentum across complex engagements
- Represent the voice of Enterprise customers internally and provide feedback that improves product priorities
Requirements
What you’ll need- 7+ years of experience in solutions architecture, cloud architecture, platform engineering, systems engineering or a comparable customer-facing technical role
- Proven track record supporting Enterprises and understanding of how they evaluate, purchase, govern, deploy and expand strategic technology platforms
- Excellent presentation, facilitation and stakeholder-management skills, including confidence with CIOs, CTOs, infrastructure leaders, AI leaders and business sponsors
- Strong knowledge and hands-on experience with cloud-native infrastructure, including compute and orchestration, storage, networking, security, identity and Kubernetes
- Understanding of Enterprise AI adoption lifecycle and success criteria associated with large-scale training and inference workloads
- Willingness to travel as customer and business needs require
- Production experience with GPU platforms, accelerated computing, CUDA or high-performance computing
- Hands-on experience with IaC and configuration management tools, preferably Terraform/Ansible, Kubernetes, and Python
- Understanding of GPU computing practices for ML training and inference workloads and GPU software stack components, including drivers and libraries such as CUDA and OpenCL
- Experience evaluating total cost of ownership of large-scale compute or GPU workloads
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire
Benefits
Comp & 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