Vice President – Lead Data Engineering & AI
INR 5000K-6944K (estimate) Senior-level Full Time
Tasks
- Architect RAG solutions
- Automate ETL pipelines
- Build conversational data access layers
- Build semantic modeling
- Collaborate on data and AI strategy
- Create LLM orchestration patterns
- Design and implement data warehousing
- Develop agent-based AI workflows
- Develop reporting and analytics solutions
- Drive modern SDLC with CI/CD and testing
- Establish AI evaluation frameworks
- Implement AI governance and security controls
- Implement enterprise search for structured and unstructured data
- Implement natural language to data interfaces
- Improve observability and data quality
- Integrate AI with Snowflake platforms
- Integrate GenAI and LLMs for data workflows
- Lead Data platform architecture
- Lead LLM safety and explainability processes
- Manage stakeholder communications and delivery risks
- Mentor and lead data engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | Agent Based Workflows | Agent-based | Agile | Analytics | Automated testing | CI/CD | Cloud Computing | Data Architecture | Data Engineering | Data Modeling | Data Privacy | Data Quality | Data Warehousing | ETL | Enterprise Search | GenAI | LLM | LLM orchestration | Language Processing | Model Risk Management | Model risk | Natural Language | Natural Language Processing | Observability | Prompt engineering | RAG | Reporting | Responsible AI | Risk Management | SDLC | SQL | Security | Semantic Modeling | Snowflake
Education
N/A
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