AI Architect (m/w/d)
Tasks
- Analyze business requirements
- Analyze technical dependencies
- Architect data platforms
- Automate deployment processes
- Build CI/CD pipelines
- Build cloud landing zones
- Build data pipelines
- Collaborate with product owners and stakeholders
- Create technology roadmaps
- Define migration strategies
- Design full-stack solutions
- Design integration patterns
- Design modern IT architectures
- Design security network governance architectures
- Develop solution concepts
- Develop target architectures
- Implement AI ML architectures
- Implement DevOps toolchains
- Implement MLOps
- Integrate component based architectures
- Lead cross-functional project teams
- Modernize legacy systems
- Select software platform and tools
Perks/Benefits
- Certifications
- Company events
- Flexible working hours
- Home office
- Meal vouchers
- Office massages
- Professional development programs
- Public transit pass
- Team events
Skills/Tech-stack
API Integration | APIs | Amazon Web Services | Artificial Intelligence | Automation | Azure | CI/CD | Cloud Architecture | Cloud platform | Data Architecture | Data Pipelines | Data platforms | DevOps | Enterprise Architecture | Event Streaming | Google Cloud | Google Cloud Platform | Governance Architecture | Integration Patterns | Landing Zone | Landing zone design | Legacy System Modernization | MLOps | Machine Learning | Microservices | Migration strategy | Network Architecture | Security Architecture | Solution architecture | Streaming | System Modernization | Web Services
Education
N/A
Roles
AI | AI Architect | Architect | Cloud Architect | Cloud) | Enterprise Architect | Solution Architect
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