AI Solution Architect - Educational Content Author

About the Role

This role is offered through a partner company based in Germany, focusing on merging AI solution architecture expertise with technical education and developer advocacy. You will play a key role in guiding developers, researchers, and academic collaborators on leveraging advanced cloud infrastructure for AI workloads, creating impactful educational content such as tutorials, reference architectures, and live coding sessions. Collaborating closely with engineering teams and external partners, you will design and simplify complex AI technology solutions to expand accessibility.

Key Responsibilities

• Create compelling technical educational materials that demonstrate the use of various cloud computing components including virtual machines, GPU clusters, Kubernetes, SLURM, and related infrastructure.
• Develop sample codes, tutorials, reference architectures, and technical documents illustrating best practices in AI and cloud infrastructure management.
• Produce engaging video tutorials, host live coding events, and create diverse learning resources to boost developer engagement.
• Work with academic partners and technical stakeholders to gather requirements and craft tailored cloud solution architectures.
• Design and maintain Infrastructure as Code implementations, technical guides, and deployment resources in partnership with solution architecture teams.
• Serve as a trusted expert advisor on GPU cloud technologies, AI workloads, and infrastructure performance enhancements.
• Contribute to improving developer experiences and expanding community knowledge regarding modern AI platforms.

Qualifications and Skills Required

• At least two years of professional experience in software development, cloud engineering, DevOps, or related technical roles.
• Comprehensive understanding of cloud infrastructure principles, distributed computing, and deployment strategies.
• Practical expertise with virtual machines, container management, and compute resource administration.
• Experience in building Infrastructure as Code solutions, with a preference for Terraform knowledge.
• Familiarity with GPU clusters, AI workload management, and optimizing machine learning performance.
• Knowledge of Kubernetes orchestration and SLURM job scheduling systems.
• Understanding of networking, storage optimization, and resource management within infrastructure.
• Ability to enhance workload performance across cloud environments.
• Proficient programming skills in Python and familiarity with the PyTorch ecosystem.
• Excellent written communication skills capable of clearly articulating complex technical concepts.
• Additional experience with MLflow, Apache Airflow, Kubeflow, cloud ML platforms, hybrid cloud infrastructures, or on-premise GPU setups is beneficial.
• Prior involvement with technology partnerships, third-party integrations, or public technical presentations is advantageous.

Benefits

• A competitive salary package.
• Opportunities for career advancement and ongoing learning.
• Flexible working atmosphere granting autonomy and ownership.
• Chance to work on impactful projects within AI infrastructure and cloud technology sectors.
• Collaborative environment comprising skilled international teams.
• Exposure to advanced AI technologies and large-scale engineering challenges.
• Opportunity to influence the future direction of AI development and education.