OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Data Engineer | Department: Engineering - Software & QA | Industry: Investment Banking / Venture Capital / Private Equity | Education: UG: Any Graduate PG: Any Postgraduate Job Summary Title: Expert Data Engineer Shift: 11:00AM - 8:00PM Work Mode: Hybrid Location: Bangalore Introduction to the job: The AI Data Engineering Lead owns the design, build, governance, and operational readiness of the data pipelines, data products, knowledge assets, and retrieval-ready datasets required to power AI-enabled products. This role ensures that AI products are not built on fragmented, low-quality, ungoverned, or inaccessible data. The AI Data Engineering Lead works across product, data architecture, AI engineering, platform engineering, security, risk, compliance, MLOps/LLMOps, and operations to ensure that AI products use trusted, permissioned, explainable, and reusable data and knowledge assets. Some of the things you'll be doing 1. Own AI-ready data engineering The AI Data Engineering Lead is accountable for engineering data assets that AI products can safely and effectively use. Note: The listing title is "Expert Data Engineer," but the job description itself internally refers to the role throughout as "AI Data Engineering Lead" - a cross-functional, ownership-level position spanning product, architecture, security, risk, and compliance - appearing in a search filtered to 0-2 years and tagged with a "0 - 4 years" experience band. The raw text also contains a visible escaped-space artifact ("you ll be doing" instead of "you'll be doing"), consistent with the encoding artifacts seen elsewhere in this project's scraped listings.
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