Principal AI Platform Architect
Tasks
- Build APIs and reusable platform services
- Build data ingestion transformation orchestration pipelines
- Define AI reference architecture
- Design scalable AI workflows
- Design secure compliant scalable cloud infrastructure
- Enable structured data access feature pipelines and embeddings
- Establish data models governance lineage and data quality frameworks
- Implement lakehouse and AI ecosystem
- Implement security access control and secure data access
- Own agent orchestration guardrails
- Set reliability performance cost scalability SLOs
- Standardize MLOps and LLMops monitoring and lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Access Management | Agent Orchestration | Batch Processing | Cloud Architecture | Cost Optimization | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Quality | Data Transformation | Data orchestration | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Feature Engineering | Identity and Access Management | Identity and access | LLM serving | LLMOps | Lakehouse | MLOps | Observability | Python | RAG | Reliability Engineering | Retrieval-Augmented Generation | SLO Management | SQL | Streaming Data | Vector Databases
Education
N/A
Roles
AI | AI Platform Architect | Architect | Data Architect | Platform Architect
Regions
Countries
States
Cities
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