This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Solution Architect - Educational Content Author in Netherlands. This role offers the opportunity to combine AI solution architecture expertise with technical education and developer advocacy. You will help shape how developers, researchers, and academic partners leverage advanced cloud infrastructure for AI workloads. The position focuses on creating impactful educational resources, from tutorials and reference architectures to live coding sessions and technical guides. You will collaborate with engineering teams and external partners to design solutions that make complex AI technologies more accessible. This is an ideal opportunity for a technically skilled professional who enjoys sharing knowledge and driving innovation. You will work in an international, fast-moving environment focused on building the future of AI infrastructure. ### Accountabilities: As an AI Solution Architect and Educational Content Author, you will support the adoption of advanced cloud technologies by creating high-quality technical learning materials and helping partners build effective AI solutions. You will combine hands-on engineering skills with strong communication abilities to translate complex concepts into practical resources. - Create educational technical content demonstrating effective use of cloud computing workloads, including virtual machines, GPU clusters, Kubernetes, SLURM, and related infrastructure technologies. - Develop sample code, tutorials, reference architectures, and technical documentation showcasing best practices for AI and cloud infrastructure. - Produce video tutorials, live coding sessions, and other learning resources to support developer adoption. - Collaborate with academic partners and technical stakeholders to understand requirements and design suitable cloud solution architectures. - Design and document Infrastructure as Code solutions, technical guides, and implementation resources in collaboration with solution architecture teams. - Act as a trusted technical advisor, sharing expertise on GPU cloud technologies, AI workloads, and infrastructure optimization. - Contribute to improving developer experiences and expanding knowledge around modern AI platforms. ## Requirements: The ideal candidate combines experience in cloud engineering, software development, or DevOps with strong technical communication skills and an interest in educating others about AI infrastructure. - 2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role. - Strong understanding of cloud infrastructure concepts, distributed computing principles, and deployment patterns. - Hands-on experience with virtual machines, containerization, and managing compute resources. - Experience building Infrastructure as Code solutions, preferably using Terraform. - Knowledge of GPU clusters, AI workloads, and techniques for optimizing machine learning performance. - Familiarity with container orchestration technologies such as Kubernetes and job schedulers such as SLURM. - Understanding of infrastructure components including networking, storage optimization, and resource management. - Experience optimizing diverse workloads in cloud environments. - Strong programming skills, particularly in Python, with familiarity with the PyTorch ecosystem. - Excellent written communication skills and the ability to explain complex technical ideas clearly. - Experience with MLflow, Apache Airflow, Kubeflow, cloud ML platforms, hybrid cloud environments, or on-premise GPU infrastructure is a plus. - Experience working with technology partners, integrating third-party solutions, or presenting technical concepts publicly is an advantage. ## Benefits: - Competitive compensation package. - Career development and continuous learning opportunities. - Flexible working environment with a high level of ownership and autonomy. - Opportunity to work on impactful AI infrastructure and cloud technology projects. - Collaborative culture with talented international teams. - Exposure to cutting-edge AI technologies and large-scale engineering challenges. - Opportunity to contribute to the future of AI development and education. 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