Data/AI Architect
Tasks
- Advise stakeholders on architectural tradeoffs
- Architect data pipelines
- Architect deployment of AI ML solutions
- Architect deployment of generative AI solutions
- Architect model integrations with enterprise systems
- Assess business value feasibility ROI of AI initiatives
- Create technical blueprints for AI driven solutions
- Define container and Kubernetes infrastructure approach
- Define data platform ingestion transformation storage and consumption layers
- Define target state architectures
- Design end-to-end AI architectures
- Design end-to-end data architectures
- Ensure integration with enterprise systems
- Guide DevOps and cloud native service decisions
- Oversee model lifecycle evaluation optimization and deployment
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Artificial Intelligence | Azure | Cloud Native | Cloud platform | Containers | Data Lake | Data pipeline | Database | DevOps | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Machine Learning
Education
N/A
Roles
AI | AI Architect | Architect | Data & AI Architect | Data Architect
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