Data & AI Lead Engineer
Tasks
- Architect GenAI workflows
- Build RAG pipelines
- Build document generation and validation interfaces
- Build monitoring dashboards
- Collaborate with compliance AFC and risk stakeholders
- Create audit and compliance artefacts
- Define prompt engineering evaluation and guardrails
- Design data models and semantic layers
- Design microservices architecture
- Develop UI and APIs platform services
- Ensure data quality, lineage, and governance
- Ensure security and regulatory data governance
- Implement LLM-based workflows
- Ingest transform and serve data pipelines
- Lead engineering design decisions and mentor team
- Process batch and real-time data
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS Glue | Agentic AI | Angular | Azure Data | Azure Data Factory | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Quality | Databricks | Dimensional Modeling | Distributed Systems | ELT | ETL | Embeddings | Frontend Development | LLM | Lakehouse | Microservices | Python | RAG | React | Real Time | Real-time Data | Real-time Data Processing | SQL | Snowflake | Structured Data Processing | Structured data | Unstructured Data | Unstructured Data Processing | Vector Database
Education
N/A
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