Хуавей Текнолоджиз Казахстан·Алматы·6 дн назад
Senior AI Computing (Ascend) Solution Architect
🏢 ОфисSeniorПолная занятость
Навык востребован (AI). Но вилки нет, про деньги придётся договариваться с нуля.
Наша компания
We are looking for a results-driven, Russian-speaking AI Computing Solution Architect to drive the growth of Huawei Ascend AI computing solutions across Central Asia and South Caucasus.
О роли
This role is focused on selling AI computing infrastructure (Ascend-based solutions), with Large Models (LLM) and industry AI applications as key enablers to create customer demand and accelerate project landing. The ideal candidate should be able to connect AI scenarios → computing power demand → solution design → deal closure, and work with partners to ensure successful implementation.
Чем предстоит заниматься
Drive pre-sales and solution selling of Huawei Ascend AI computing (GPU-like) solutions
Design end-to-end AI computing solutions, including AI infrastructure (compute, storage, networking), AI platforms and toolchains (training & inference), Large model (LLM) deployment as a business driver
Identify and expand AI computing opportunities by linking industry scenarios (Gov, Finance, Telecom) with compute demand
Work with ISV and AI partners to adapt and deploy large models on Ascend platform
Lead POC and pilot projects, especially LLM on Ascend adaptation, AI workload benchmarking and performance validation
Support RFP/RFQ, solution design, and competitive positioning
Deliver customer workshops and executive-level presentations
Provide regional technical support across Central Asia & South Caucasus
Наши требования
Language: Fluent in Russian (mandatory), English working proficiency
Experience: Proven experience in AI computing / server / storage pre-sales OR AI infrastructure / data center solutions, Experience in customer-facing roles with deal ownership, Hands-on involvement in POC / solution landing is highly preferred
Technical Skills (Core Focus: Compute Sales): Strong understanding of AI computing architecture (GPU / AI accelerators / clusters), Data center infrastructure (compute, storage, networking)
Familiar with: AI frameworks (PyTorch, TensorFlow), Large model (LLM) basics (training, fine-tuning, inference)
Understanding of: Virtualization / containers (Kubernetes, Docker), Databases and data platforms
AI & Large Model (Supporting Capability): Ability to use LLM and AI use cases to drive computing demand, Support model adaptation and deployment discussions
Industry Experience (Preferred): Experience in Government / national-level AI projects, Intelligent Computing Centers / AI clusters, Industry digital transformation (Finance, Gov, Telecom)
Стек
AscendPyTorchTensorFlowKubernetesDockerGPUAI acceleratorsClustersДополнительно
Location & Mobility: Based in Tashkent or Almaty, Frequent travel across Central Asia (Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, Turkmenistan) and South Caucasus (Azerbaijan, Georgia, Armenia)
Технологии и навыки
ГрейдSenior
ЗанятостьПолная занятость
РегионКазахстан
ФорматОфис
ИсточникСкрыто
Опубликовано6 дн назад
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