
1001 - 5000 employees
đ¤ Artificial Intelligence
đ˘ Enterprise
âď¸ SaaS
Artificial Intelligence ⢠Enterprise ⢠SaaS
Nebius Group is building one of the worldâs 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.
đ July 9
đŚđŞ United Arab Emirates (UAE) â Remote
â° Full Time
đ´ Lead
đť Solutions Engineer
đť Ghost score 50%
đŁď¸đ¸đŚ Arabic Required
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1001 - 5000 employees
đ¤ Artificial Intelligence
đ˘ Enterprise
âď¸ SaaS
Artificial Intelligence ⢠Enterprise ⢠SaaS
Nebius Group is building one of the worldâs 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.
⢠Own end-to-end technical presales and solution delivery for strategic and enterprise customers across the Middle East, from initial discovery through PoC, architecture design, and production readiness. ⢠Serve as a trusted technical advisor to senior customer stakeholders, including CTOs, Heads of ML, Platform Engineering, and 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 advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption. ⢠Build trusted relationships with customers across government, enterprise, AI-native, and digital-native organizations throughout the Gulf region. ⢠Partner with Sales, Product, Engineering, and Support to represent customer requirements and influence product roadmap decisions. ⢠Act as a single point of technical authority for key customer scenarios across internal teams. ⢠Support conferences, hackathons, webinars, customer case studies, and technical thought leadership across the Middle East. ⢠Mentor and provide technical leadership to other Solutions Architects.
⢠10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar, with significant customer-facing responsibilities. ⢠Deep expertise in cloud infrastructure, distributed systems, networking, storage, Kubernetes, containers, and GPU-accelerated computing. ⢠Strong understanding of AI/ML infrastructure, MLOps platforms, model training, inference, and large-scale GPU environments. ⢠Experience designing and delivering complex enterprise architectures and technical solutions for strategic customers. ⢠Excellent communication and executive presentation skills, with the ability to translate complex technical concepts into business value. ⢠Demonstrated experience leading technical discovery sessions, architecture workshops, and proof-of-concepts. ⢠Experience collaborating with Sales, Product, Engineering, and Customer Success organizations. ⢠Strong experience working with enterprise customers across the Gulf Cooperation Council (GCC), including the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman. ⢠Strong understanding of the regional technology ecosystem, procurement processes, and customer landscape in the Gulf countries. ⢠Native or fluent Arabic and professional English are required. ⢠Ability to travel across the Middle East as required.
⢠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 ⢠Fast moving ⢠Bold thinking ⢠Constant growth ⢠Meaningful impact ⢠Trust and real ownership ⢠Opportunity to shape the future of AI
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