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 thirdparty AI providers and services;

• Build and manage CICD pipelines using GitHub Actions or Azure DevOps;

• Oversee identity and access management via Microsoft Entra ID (Azure AD);

• Collaborate with crossfunctional 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 CICD 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.