Ai Solution Architect - Educational Content Author

ppThis position is listed on behalf of a partner company, who manages all applications and next steps.Our partner is looking for an AI Solution Architect - Educational Content Author in Spain./p pThis 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./p h3Accountabilities /h3 ul liCreate educational technical content demonstrating effective use of cloud computing workloads, including virtual machines, GPU clusters, Kubernetes, SLURM, and related infrastructure technologies./li liDevelop sample code, tutorials, reference architectures, and technical documentation showcasing best practices for AI and cloud infrastructure./li liProduce video tutorials, live coding sessions, and other learning resources to support developer adoption./li liCollaborate with academic partners and technical stakeholders to understand requirements and design suitable cloud solution architectures./li liDesign and document Infrastructure as Code solutions, technical guides, and implementation resources in collaboration with solution architecture teams./li liAct as a trusted technical advisor, sharing expertise on GPU cloud technologies, AI workloads, and infrastructure optimization./li liContribute to improving developer experiences and expanding knowledge around modern AI platforms./li /ul h3Requirements /h3 ul li2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role./li liStrong understanding of cloud infrastructure concepts, distributed computing principles, and deployment patterns./li liHands?on experience with virtual machines, containerization, and managing compute resources./li liExperience building Infrastructure as Code solutions, preferably using Terraform./li liKnowledge of GPU clusters, AI workloads, and techniques for optimizing machine learning performance./li liFamiliarity with container orchestration technologies such as Kubernetes and job schedulers such as SLURM./li liUnderstanding of infrastructure components including networking, storage optimization, and resource management./li liExperience optimizing diverse workloads in cloud environments./li liStrong programming skills, particularly in Python, with familiarity with the PyTorch ecosystem./li liExcellent written communication skills and the ability to explain complex technical ideas clearly./li liExperience with MLflow, Apache Airflow, Kubeflow, cloud ML platforms, hybrid cloud environments, or on-premise GPU infrastructure is a plus./li liExperience working with technology partners, integrating third?party solutions, or presenting technical concepts publicly is an advantage./li /ul h3Benefits /h3 ul liCompetitive compensation package./li liCareer development and continuous learning opportunities./li liFlexible working environment with a high level of ownership and autonomy./li liOpportunity to work on impactful AI infrastructure and cloud technology projects./li liCollaborative culture with talented international teams./li liExposure to cutting?edge AI technologies and large?scale engineering challenges./li liOpportunity to contribute to the future of AI development and education./li /ul /p #J-*****-Ljbffr

li /ul h3Requirements /h3 ul li2+ years of experience in software development, cloud engineering, DevOps, or a similar technical role. /li liStrong understanding of cloud infrastructure concepts, distributed computing principles, and deployment patterns. /li liHands?on experience with virtual machines, containerization, and managing compute resources. /li liExperience building Infrastructure as Code solutions, preferably using Terraform. /li liKnowledge of GPU clusters, AI workloads, and techniques for optimizing machine learning performance. /li liFamiliarity with container orchestration technologies such as Kubernetes and job schedulers such as SLURM. /li liUnderstanding of infrastructure components including networking, storage optimization, and resource management. /li liExperience optimizing diverse workloads in cloud environments. /li liStrong programming skills, particularly in Python, with familiarity with the PyTorch ecosystem. /li liExcellent written communication skills and the ability to explain complex technical ideas clearly. /li liExperience with MLflow, Apache Airflow, Kubeflow, cloud ML platforms, hybrid cloud environments, or on-premise GPU infrastructure is a plus.

li liExperience working with technology partners, integrating third?party solutions, or presenting technical concepts publicly is an advantage. /li /ul h3Benefits /h3 ul liCompetitive compensation package. /li liCareer development and continuous learning opportunities. /li liFlexible working environment with a high level of ownership and autonomy. /li liOpportunity to work on impactful AI infrastructure and cloud technology projects. /li liCollaborative culture with talented international teams. /li liExposure to cutting?edge AI technologies and large?scale engineering challenges. /li liOpportunity to contribute to the future of AI development and education. /li /ul /p #J-*****-Ljbffr