Principal Solutions Architect
Location
France
Posted
118 days ago
Salary
0
Seniority
Lead
Job Description
Principal Solutions Architect
Nebius Group
• 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.
Job 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.
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