AI Cloud Engineer

As member of the ALSO Analytics team you will become part of the AI development. You will work together with Data Scientists and ML Engineers to providing and deploying solutions within AZURE. You will build and enhance the AI tools besides handling the resource management and monitoring the consumption as well as building secure access to the services.

In this role, you will support the evolution toward modern, cloud‑native architectures by helping define, implement, and maintain best practices for performance, security, and cost efficiency. Your day-to-day responsibilities will include ensuring seamless deployment of applications, infrastructure, and services in Azure. Staying on top of the latest Azure features, technologies, and industry trends, helping the team to continuously innovate and adopt new tools that enhance cloud performance, efficiency, and security, will also be important.

If you are passionate about AI tools and programming and efficient in cloud technologies, eager to work in an agile and fast-paced environment, and have expertise in Microsoft Azure, this is the perfect opportunity for you.

Key Responsibilities

Cloud Architecture & Engineering

• Design and implement scalable cloud solutions using Microsoft Azure services.
• Build and evolve Azure‑based infrastructure supporting AI and analytics workloads.
• Provide secure, reliable service endpoints enabling integration across applications.

Infrastructure Operations & Management

• Manage and optimize Azure resources, ensuring cost efficiency and high availability.
• Monitor, maintain, and troubleshoot cloud environments, pipelines, and deployments.
• Implement governance, security controls, and identity/access policies aligned with best practices.

AI Platform Enablement

• Support the development and deployment of AI and ML solutions in the cloud.
• Integrate Azure AI services to enable intelligent capabilities across the organization.
• Ensure secure and compliant access to AI tools, datasets, compute resources, and APIs.

Collaboration & Continuous Improvement

• Provide Azure expertise, architectural guidance, and operational insights to cross‑functional stakeholders.
• Stay current with Azure innovations and emerging industry trends to enhance performance, security, and efficiency.

Required Skills & Qualifications

Technical Skills

In‑depth experience with the Microsoft Azure cloud platform, including services such as:

• Compute (VMs, Kubernetes), Storage, Networking
• Azure Active Directory / Entra ID
• Web Apps, Pipelines, Deployment tools
• Solid programming/scripting abilities (e.g., Python, Bicep, PowerShell, .NET/C#)
• Expertise creating LLM solutions using base-models (Agents, Tool calling, Workflows)
• Solid understanding of DevOps practices, CI/CD, automation, and infrastructure as code.
• Experience in cloud infrastructure design, scalability strategies, and environment hardening.
• Knowledge of access and security management, including Key Vault and Managed
• Identities.
• Familiarity with Azure AI services (e.g., Azure AI Foundry, Azure AI Search) is a strong plus.

Soft Skills

• Result‑driven mindset with a focus on delivering scalable, high‑quality solutions.
• Collaborative team player able to work effectively with technical and non‑technical
• colleagues.
• Ability to work efficiently in a remote-first environment.
• Strong English communication skills.
• Continuous learner eager to explore new cloud technologies in a rapidly evolving
• industry