Principal Solutions Architect

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🕒 February 13

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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.