[All remote jobs](https://jobicy.com/jobs.md)[![Nebius logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/d90c0566-221.webp)](https://jobicy.com/company/nebius.md)[Nebius](https://jobicy.com/company/nebius.md) # Principal Solutions Architect, South Korea Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)ShareRemote from[South Korea](https://jobicy.com/job-region/south-korea.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceDirectorPublished30 Oct 2026Apply before29 Nov 2026Listing views41Application actions4Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Nebius is hiring a Principal Solutions Architect to own technical presales and production adoption for strategic AI-cloud customers in South Korea. The role leads discovery, architecture design, advanced proof-of-concepts, and deployment readiness for large-scale GPU-based ML training and inference workloads. It requires deep expertise in cloud infrastructure, Kubernetes, MLOps, GPU computing, Terraform, Ansible, and Python, alongside executive-level customer communication. The architect will work remotely from the Greater Seoul Area, collaborate closely with Sales, Product, Engineering, and Support, and mentor other solutions architects. Fluency in Korean and English is essential for advising local customers and internal stakeholders. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a principal-level customer-facing architecture role requiring more than 10 years of experience and hands-on authority across cloud, GPU infrastructure, MLOps, and complex enterprise presales. Success depends on independently leading high-stakes technical engagements while influencing customers, product direction, and internal teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$190,000US market range (per year)$150k–$240k0$264k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD market estimate are inferred for a principal-level AI/ML cloud solutions architect role in South Korea; these are AI estimates rather than verified compensation data. ## Core skills Skills and capabilities most closely associated with this opportunity. [Solutions Architecture](https://jobicy.com/jobs?search_keywords=Solutions%20Architecture.md)[Technical Presales](https://jobicy.com/jobs?search_keywords=Technical%20Presales.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[GPU Computing](https://jobicy.com/jobs?search_keywords=GPU%20Computing.md)[CUDA](https://jobicy.com/jobs?search_keywords=CUDA.md)[Machine Learning Infrastructure](https://jobicy.com/jobs?search_keywords=Machine%20Learning%20Infrastructure.md)[Infrastructure as Code](https://jobicy.com/jobs?search_keywords=Infrastructure%20as%20Code.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Ansible](https://jobicy.com/jobs?search_keywords=Ansible.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Proof of Concept](https://jobicy.com/jobs?search_keywords=Proof%20of%20Concept.md)[Executive Communication](https://jobicy.com/jobs?search_keywords=Executive%20Communication.md) Sample interview questionsHow would you approach a discovery engagement for an enterprise that wants to move a large-scale model-training workload to Nebius AI Cloud?I would begin by identifying the business objective, model characteristics, data lifecycle, training scale, latency and throughput targets, security requirements, and current operational pain points. I would then assess the existing stack and propose a phased target architecture covering GPU sizing, storage, networking, orchestration, observability, cost controls, and production operations. I would validate the most important assumptions through a measurable PoC with agreed success criteria before planning production migration. What factors do you consider when designing a GPU-accelerated training platform on Kubernetes? I consider GPU type and topology, driver and CUDA compatibility, scheduling and quota policies, node autoscaling, high-performance storage, network bandwidth, container images, distributed training frameworks, and observability. I also design for reproducibility through infrastructure as code, workload isolation, security controls, and clear operational runbooks. The final design must balance training performance, reliability, utilization, and cost. Describe how you would run a complex technical proof of concept for a strategic customer. I would jointly define the business hypothesis, technical scope, ownership model, timeline, baseline metrics, and objective exit criteria. During execution, I would keep the environment minimal but representative, document decisions and findings, remove blockers with internal specialists, and provide regular stakeholder updates. At the end, I would present performance results, architectural recommendations, risks, and a practical roadmap for production adoption. How do you explain a complex ML infrastructure decision to both a CTO and a platform engineering team? For the CTO, I focus on business impact, strategic risk, time to value, operating cost, and the decision required. For the platform team, I provide the technical depth: architecture diagrams, scalability assumptions, integration points, security controls, implementation steps, and operational trade-offs. I ensure both audiences receive a consistent recommendation, tailored to their level of responsibility. How would you use customer feedback to influence an AI cloud product roadmap? I would translate individual requests into clearly evidenced patterns, including affected workload types, business impact, technical constraints, frequency, and competitive implications. I would validate the problem with additional customers where possible and partner with Product and Engineering to frame feasible solution options. I would then communicate priorities transparently to customers and feed product decisions back into reference architectures and field enablement. Opportunity details ## About this role. About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are 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. As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI cloud for mission-critical ML/AI workloads. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Seoul Area. Your responsibilities will include: * Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic customers including AI-native and digital-native companies, strategic and large enterprises, and government organizations, 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. We expect you to have: * 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. * Fluency in Korean and English, with the ability to communicate effectively with customers and stakeholders in both languages. It will be an added bonus if you have: * Prior experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or in a similar senior AI/ML-focused role. * Hands-on experience with HPC and ML orchestration frameworks (e.g., Slurm, Kubeflow). * Practical experience with deep learning frameworks such as PyTorch and TensorFlow. * Strong understanding of the cloud ML ecosystem across major providers (NVIDIA, AWS, Azure, Google Cloud). * Experience influencing product direction based on customer feedback and real-world usage patterns.Experience leading and contributing to end-to-end large scale ML deployment projects on all layers of the stack. 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 What’s it like to work at Nebius: Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Show more [Apply now >](https://jobicy.com/jobs/157985-principal-solutions-architect-south-korea.md) > Annual salary information is not provided for this position. 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