
Principal Solutions Architect
Nebius Group
full-time
Posted on:
Location Type: Remote
Location: France
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Job Level
About the role
- Own end-to-end technical presales and solution delivery for strategic and enterprise customers, from initial discovery through PoC, architecture design, and production readiness.
- Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams).
- Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.
- Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI.
- Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption.
- Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions.
- Act as a single point of technical authority for key customer scenarios across internal teams (product, support, marketing).
- Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership.
- Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization.
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, including discovery, solution design, PoCs, and production transition.
- 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.
- Deep understanding of GPU computing stacks for ML/AI workloads (drivers, CUDA, libraries, performance optimization).
- Exceptional communication skills — able to clearly articulate complex technical concepts to both technical and executive audiences.
- A highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsInfrastructure-as-CodeGPU computingPythonKubernetesTerraformAnsibleML-based workloadssolution designproduction transition
Soft Skills
communicationcustomer-centric mindsettechnical leadershipmentoringpresentation skillscollaborationproblem-solvinginfluencingstakeholder managementtechnical advisory