GenAI / Agentic Architect
Tasks
- Architect data protection pipelines
- Architect scalable data ingestion pipelines
- Define multi year GenAI roadmaps
- Design GraphRAG solutions
- Design agentic RAG solutions
- Design semantic RAG solutions
- Evaluate AI architecture trade offs
- Implement AI observability monitoring
- Implement data loss prevention
- Implement semantic caching
- Lead client facing engagements
- Monitor hallucination rates
- Monitor model drift
- Pitch AI solutions to executives
- Review and approve AI architectures
- Sanitize data before external APIs
- Track token consumption
- Translate architecture into ROI frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic RAG | Arize | Cloud Architecture | DLP | Data Loss Prevention | Data loss | Generative AI | GraphRAG | LLM | LLM Observability | Langchain | Langsmith | Language Models | Large Language Models | Llamaindex | Loss prevention | Milvus | PGVector | Phoenix | Pinecone | Prompt engineering | Qdrant | RAG | Semantic Caching | Semantic Kernel | Semantic RAG | TensorRT-LLM | Tokenization | VLLM
Education
Roles
AI | AI Architect | Architect | Enterprise Architect | GenAI Architect
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