Key skills
AzureCloudDockerKubernetesMicroservicesAIMLOpenAIMLOpsSAPCI/CDLeadershipCommunication
About this role
Role Overview
- Architect end-to-end AI solutions using Azure AI services (OpenAI, Cognitive Services, ML, etc.)
- Collaborate with stakeholders to translate business needs into technical designs
- Define cloud infrastructure, data pipelines, and integration patterns
- Ensure scalability, performance, and security of AI applications
- Mentor engineers and contribute to technical excellence across the team
Requirements
- Proven experience designing cloud-native applications on Azure
- Deep understanding of Azure AI stack (Azure OpenAI, Azure ML, Cognitive Services)
- Strong grasp of MLOps, DevOps, and CI/CD practices
- Experience with REST APIs, microservices, and containerization (Docker, Kubernetes)
- Excellent communication and leadership skills
Nice to have:
- Microsoft certifications (e.g., Azure Solutions Architect Expert)
- Experience integrating AI with enterprise systems (e.g., SAP, Microsoft 365)
- Familiarity with responsible AI and data governance principles
Tech Stack
- Azure
- Cloud
- Docker
- Kubernetes
- Microservices
Benefits
- An attractive salary package
- Private health insurance plan
- Career development and growth opportunities
- Continuous training via personalized seminars
- An amazing private & open-office workspace in Athens #LI_Hybrid
- Stable and enjoyable working environment