Associate Director, Data & Agentic AI Engineer
GSK (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the design and operation of production data systems and AI-grade data infrastructure for a Labs & CMC domain, including pipelines serving multiple scientific consumers.
- Define and enforce architectural and quality standards for hybrid workflows involving human engineers and digital AI agents, ensuring data quality and governance.
- Mentor junior and mid-level engineers to improve capability and independence, and manage data lifecycle and incident response within the domain.
Minimum Requirements
- 8+ years of data engineering experience with leadership in complex production data systems design and operation.
- Expertise in modern data warehouses/lakehouses, orchestration, transformation frameworks, batch and streaming architectures.
- Experience designing and operating AI agents or LLM-powered tools within data engineering workflows, including evaluation and human-in-the-loop controls.
- Bachelor's degree in Computer Science, Data Engineering or related field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced technical leader with hands-on background in data platform architecture from build to scale, particularly in regulated environments such as life sciences.
- Strong operational focus on integrating AI agents into data engineering workflows with measurable outcomes in data quality and governance.
- Skilled in designing cloud data infrastructure with Infrastructure as Code and managing AI data lifecycle including drift monitoring and artifact governance.