VP, AI Data Engineering Lead
BL4 - KNG Tower 1, Indiqube Symphony, Floors 1 -5, No. 25 MG road, Bengaluru 560001, India
R
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Bridge product management and AI engineering
- Build and scale AI data engineering operating model
- Coach/mentor team members
- Coordinate UAT and production monitoring
- Define and enforce quality standards for user story delivery
- Define organization wide standards for delivery quality
- Drive backlog prioritization
- Establish frameworks for output quality governance
- Identify delivery bottlenecks and drive process improvements
- Lead AI agent engineers and data scientists
- Lead cross functional AI initiatives from discovery to delivery
- Lead post implementation validation and output quality reviews
- Own end to end AI solution design and delivery
- Partner with product managers on feature roadmaps
- Run sprint planning and retrospectives
- Run structured refinement sessions
- Set technical direction and delivery direction
- Support product activation and customer adoption
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | Accuracy Metrics | Agent Orchestration | Agent workflows | Agile | Artificial Intelligence | Confluence | Data provenance | GenAI | Human-in-the-loop | Jira | Language Models | Large Language Models | Miro | Multi-Agent | Multi-agent workflows | Output Quality Benchmarking | Output Quality Measurement | Product Analytics | Prompt engineering | Quality Benchmarking | Quality Measurement | Responsible AI | Sprint Planning | The Loop | Vision AI
Education
N/A
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