Staff, Data Engineer
GSK (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Implement and evolve the governed context layer product integrating enterprise knowledge, structured data, business vocabulary, and modelled ontologies for AI systems.
- Define architecture standards and shared frameworks for automated pipeline generation, testing, deployment, and monitoring to support multiple AI initiatives.
- Lead incident management for automated digital workers, including detection, escalation, and resolution, and set operating models for human vs autonomous tasks in AI data workflows.
Minimum Requirements
- 10+ years in data engineering with substantial experience defining data architecture for production AI or ML systems at significant scale or complexity.
- Deep hands-on experience with AI-grade data infrastructure, including feature stores, vector databases, streaming data flows, metadata catalogues, and semantic knowledge graphs.
- Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent practical experience.
- Expertise in cloud data platforms, infrastructure as code, and data governance standards including privacy, consent, PII handling, and auditability for AI pipelines.
Ideal Candidate Profile
- Experienced staff or principal-level engineer accustomed to setting engineering standards and operating in complex AI data platform environments.
- Familiarity with regulated industries (e.g., life sciences) where data integrity, auditability, and compliance are critical.
- Skilled in designing and managing AI agent workflows and context engineering, with a record of public technical contributions or thought leadership in AI data architecture.