Korea AI Architect
KRW 65000K-90000K (estimate) Senior-level Full Time
Tasks
- Define AI deployment strategy across cloud on prem and hybrid
- Design AI machine learning generative AI architectures
- Develop reusable architectural blueprints and reference models
- Govern AI lifecycle from data ingestion to monitoring
- Implement security access control and responsible AI principles
- Integrate client data sources model pipelines APIs and enterprise systems
- Lead solution design with client and delivery stakeholders
- Translate business requirements into scalable AI roadmaps
Perks/Benefits
Skills/Tech-stack
AI Agents | Agent systems | Amazon Web Services | Azure AI | Cloud Native | Cloud platform | Containerization | Cost Optimization | Data Architecture | Data Classification | Data Governance | Data Lakes | Data Management | Data Migration | Data Quality | Data Quality Management | Data Warehouses | DevOps | Enterprise Architecture | Generative AI | Google Cloud | Google Cloud Platform | Hybrid Cloud | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Microsoft Azure | Multi-Agent | Multi-Agent Systems | Network Security | Object-Oriented | Object-Oriented Databases | OpenAI | Quality management | Regulatory Compliance | Relational databases | Responsible AI | Risk Management | Semantic Kernel | Web Services | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect
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