Salesconsulting
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.
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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.
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