Director, Data & Agentic AI Engineer
GSK (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and operation of production data systems and pipelines for specific Labs and CMC domains, serving multiple scientific consumers.
- Define and enforce AI-grade data infrastructure, quality, governance standards, and human-in-the-loop controls for hybrid human and AI agent workforce within your domain.
- Mentor junior and mid-level engineers, improve cloud data infrastructure, and lead resolution of significant data quality incidents.
Minimum Requirements
- Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
- 8+ years of data engineering experience, including leadership in complex production data systems design and operation.
- Experience with AI agents or LLM-powered tools in data engineering workflows and AI-grade data infrastructure including lifecycle management.
- Proven expertise with modern data warehouses/lakehouses, orchestration, batch and streaming architectures, and cloud data infrastructure with Infrastructure as Code.
Ideal Candidate Profile
- Experienced technical lead capable of building and scaling data platforms or domains, particularly in regulated industries like life sciences.
- Strong background in integrating AI systems with data pipelines, including data quality, semantic layers, and AI artifact governance.
- Demonstrated ability to set and enforce data governance and quality standards achieving measurable business or operational improvements.