Principal AI Solutions Architect
Tasks
- Architect event log flow into Snowflake
- Architect retrieval augmented generation with ontology
- Define semantic APIs and semantic governance
- Design hub-and-spoke master data schema
- Design stateful multi agent workflows
- Document architecture decisions for governance board
- Implement governed APIs for AI agent data access
- Implement stewardship queues and governed writeback
- Map match and survivorship rules
- Partner to deliver phase 1 roadmap and dashboards
- Route conflicts to human owners
Perks/Benefits
- N/A
Skills/Tech-stack
AI architecture | Agent systems | Agent to Agent | Agent workflows | Agent-to-Agent workflows | Anthropic | Data Architecture | Data Contracts | Data Governance | Data Management | Data Quality | ESB | Enterprise Service | Enterprise Service Bus | Enterprise Systems Integration | Enterprise systems | Event Log Ingestion | Event log | GraphRAG | Human-in-the-loop | KPI Dashboards | Log Ingestion | MCP | Master Data | Master Data Management | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Ontology | OpenAI | RAG | Retrieval-Augmented Generation | Semantic layer | Service Bus | Snowflake Cortex | Syncari | Systems Integration | The Loop
Education
N/A
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