Position Summary
The Tech Development Lead is a Grade 7 individual contributor who independently designs, builds, deploys, and operates reliable data pipelines and AI-enabled solutions. The role applies advanced technical judgment across data engineering, GenAI, and agent engineering, with accountability for production reliability, observability, trusted data access, prompt effectiveness, and responsible operation in a regulated environment.
The role owns complex components of the data and AI landscape end-to-end, makes day-to-day technical decisions with limited oversight, and helps shape practical engineering direction. It partners with business, product, platform, architecture, security, governance, and engineering teams to translate ambiguous needs and user feedback into scalable, maintainable solutions while mentoring colleagues and strengthening team capability.
Why This Role Exists
• Own data pipelines, datasets, and supporting interfaces end-to-end for analytics, machine learning, and GenAI use cases.
• Build and maintain AI agents and LLM-powered capabilities that support trusted, productive business workflows.
• Establish agent reliability, observability, guardrails, and escalation controls for stable and compliant production operation.
• Use AI-assisted engineering as a core working practice while applying strong judgment to generated code, tests, documentation, recommendations, and downstream risk implications.
Key Responsibilities
1. Data Pipeline & Platform Engineering
• Independently design, build, deploy, and operate batch and streaming data pipelines that meet defined expectations for freshness, correctness, reliability, performance, and cost.
• Own data models and datasets across ingestion, transformation, storage, and serving, using modern warehouse or Lakehouse technologies.
• Monitor source and platform changes, including ServiceNow data exposed through Databricks views, and address inconsistencies that could affect downstream solutions or
📌 Senior Manager (Bengaluru)
🏢 GSK
📍 Bengaluru