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Solution Architect-Amsterdam

Alibaba Cloud

RemoteAmsterdam, North Holland, NetherlandsentryFull-time
Posted
today
Source
LinkedIn (remote, Europe)
Field
Engineering

Skills

CommunicationKubernetesSecurityLLMsAI

Description

- Design cloud solutions for enterprise customers across Europe, covering compute, storage, networking, databases, containers, Kubernetes, landing zones, and big data platforms. - Help customers design and implement cloud architectures, including cloud migration, application modernization, hybrid cloud, security, high availability, and disaster recovery. - Provide technical guidance on cloud infrastructure, including network connectivity, identity and access management, infrastructure automation, performance optimization, and cost management. - Design AI solutions using large language models (LLMs), image, voice, and video models, as well as AI agents. Support model deployment, inference optimization, and AI application development. - Understand AI trends and industry use cases, identify customer needs, and turn cloud and AI technologies into practical business solutions. - Work closely with sales teams throughout the pre-sales process, including customer meetings, technical workshops, architecture design, demos, PoCs, and technical proposals. - Take ownership of technical engagements, work with product and engineering teams to address customer requirements, and help move business opportunities forward. - Stay up to date with cloud and AI technologies, share technical knowledge, and contribute to reusable solutions and best practices within the global solution architect team. Job Requirements - Bachelor’s degree or above in Computer Science, Software Engineering, AI, or a related field. - At least 4 years of relevant experience in cloud computing, solution architecture, software engineering, or similar technical roles. Pre-sales experience is strongly preferred. - Solid understanding of cloud technologies and hands-on experience with public cloud platforms, including containers, networking, databases, and cloud architecture. - Practical experience with AI technologies, especially generative AI, LLMs, multimodal models, model inference, or enterprise AI applications. - Good communication skills and the ability to understand customer needs, explain technical solutions clearly, and work with both technical and business stakeholders. - Strong learning ability, with the flexibility to pick up new technologies quickly and adapt to changing business needs and organizational priorities. - Proactive, responsible, and results-driven, with a strong interest in AI and the ambition to grow and succeed in this fast-moving industry. - Fluent English is required. Dutch or German language skills would be a strong plus. - Comfortable working in an international team and collaborating with colleagues across different countries.

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