AI Data Architect
INMANBP Bangalore (INMANBP) Manyatha, India
INR 3000K-4200K (estimate) Senior-level Full Time
Tasks
- Apply privacy masking and lineage logging
- Architect governed APIs for agents
- Architect lakehouse and vector infrastructure
- Build RAG and semantic search pipelines
- Create golden evaluation datasets
- Define AI & Data architecture
- Define chunking and indexing policies
- Design canonical data models
- Design scalable data pipelines
- Enforce zero trust data access
- Establish data quality thresholds
- Implement RBAC and ABAC
- Implement vector indexing strategies
- Measure retrieval precision and recall
- Model ITSM workflows as data products
- Provide architecture leadership and reviews
Perks/Benefits
Skills/Tech-stack
ABAC | AI Search | AWS | Audit Logging | Autogen | Azure | Azure AI | Azure AI Search | Azure OpenAI | BigQuery | CMDB | Canonical Modeling | Chunking | Claude | Data Governance | Data Lineage | Data Modeling | Data Quality | Data mesh | Data product | Databricks | Drift Detection | Evaluation | GCP | Gemini | Git | Hybrid search | Knowledge graph | LLM | Lakehouse | Langchain | Llamaindex | Milvus | PGVector | Pinecone | Precision-recall | Privacy Masking | RAG | RBAC | Retrieval Precision | Retrieval Precision Recall | S&OP | Semantic Modeling | Semantic Search | ServiceNow | SharePoint | Snowflake | Vector Database | Vector indexing | Zero Trust
Education
Roles
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