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AI-Driven Cloud Architect

AI Engineer Full-time Finland, Denmark, Poland, Sweden

Job details

Not specified Salary
Finland, Denmark, Poland, Sweden Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Design and implement secure, highly available cloud platforms while helping teams make AI-assisted development a practical part of everyday engineering. The role also shapes the use of AI-enabled capabilities, including agent-based systems and orchestration, and provides technical leadership from customer requirements through delivery.

Responsibilities - Architect and implement cloud solutions on Azure, AWS, and/or Google Cloud. - Set technical direction for scalable, secure, and sustainable platform solutions. - Work with sales, service managers, and other stakeholders to connect business needs with technical designs. - Establish development, deployment, and DevOps practices across the team. - Promote the effective use of AI assistants in development workflows. - Ensure customer requirements are understood, delivered, and communicated clearly.

Requirements - Experience designing secure, highly available cloud architectures and solid knowledge of at least one major public cloud. - Practical Infrastructure as Code expertise, such as Bicep, ARM, Terraform, or OpenTofu. - Hands-on Kubernetes experience, for example with AKS or EKS, and knowledge of containers and orchestration. - Understanding of designing and operating AI-enabled cloud platforms, including agentic systems and orchestration. - Good knowledge of DevOps operating models and CI/CD. - Working proficiency in Finnish or English, spoken and written, with the ability to communicate with technical and non-technical stakeholders. - Willingness to take ownership and lead technical direction.

Nice to have - Experience with agent architectures, including tool use, context or persistent memory, multi-agent collaboration, event-driven workflows, or agent identity management. - Basic understanding of language models such as LLMs and SLMs.

Benefits and work setup - Collaborative cloud team working across architecture, implementation, operations, and ongoing improvements. - Work supports customer environments with attention to stability, security, cost, and long-term operation.

Skills detected in the listing

Stakeholder ManagementAWSGCPAzureKubernetesTerraformLLM
Detected Oct 27, 2026
Last verified Nov 12, 2026

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