Data Architect
UNAVAILABLE · Posted Nov 12, 2024
- Atlanta, Georgia, United States
- Senior
- 10+ years
Design and own data and knowledge foundations for enterprise‑grade agentic AI systems.
Responsibilities
- Define and evolve data/knowledge architecture including vector pipelines, retrieval augmentations, embedding stores, metadata indexing, and ontology modeling
- Architect scalable RAG pipelines, retrieval patterns, and knowledge graph integrations optimized for agentic workflows and multi‑agent orchestration
- Own schema, ontology, taxonomies, and data modeling standards for LLM/agent training, tuning, and augmentation
- Build reusable, production‑grade data and knowledge frameworks used across Evergreen.AI’s agent ecosystem
- Define standards for data ingestion, preprocessing, enrichment, normalization, and multi‑modal data integration
Requirements
- Master’s degree in Computer Science or related field
- Nice to have: agentic AI architectures
- Nice to have: multi‑agent orchestration
- Nice to have: workflow systems
- Nice to have: operationalizing knowledge graphs