AI Cloud Solution Engineer

The AI Cloud Solution Engineer will join a dynamic technology team and be integrated into the company’s digital transformation initiatives.

Role description:

• Design and implement AI solutions using machine learning, deep learning, and related technologies;
• Manage and automate cloud infrastructure in Azure and GCP, including hybrid environments;
• Develop and maintain infrastructure using IaC tools such as Terraform, Bicep, and Ansible;
• Ensure secure and scalable integration of third-party AI providers and services;
• Build and manage CI/CD pipelines using GitHub Actions or Azure DevOps;
• Oversee identity and access management via Microsoft Entra ID (Azure AD);
• Collaborate with cross-functional teams to align cloud infrastructure with AI application needs;
• Support cost optimization efforts for LLM inference and cloud resource usage.

Qualifications:

• 3+ years of experience in a similar cloud or AI engineering role;
• Strong expertise in Microsoft Azure, Google Cloud Platform, and hybrid architectures;
• Proficiency in Python; additional experience in Go or Bash is a plus;
• Solid understanding of Infrastructure as Code (Terraform, Bicep, Ansible);
• Experience with containerization and orchestration using Docker and Kubernetes;
• Familiarity with AI frameworks and tools (e.g., OpenAI, Gemini, LLaMA, Mistral, Ollama);
• Knowledge of cloud security, IAM, network segmentation, and private cloud connectivity;
• Experience with CI/CD tools, GitHub, and DevOps practices;
• Strong understanding of cloud cost optimization and FinOps principles;
• Fluent in English; German is an advantage;
• Willingness to travel occasionally to Germany.