AI Data & Knowledge Engineer
Career Page
San Francisco, CAOn-siteFull-time$140k – $220k / year
About this role
AI Data & Knowledge Engineer - Innovapptive - Career Page
Join our amazing culture!We're on a mission to simplify technology to drive operational excellence for organizations around the world.
AI Data & Knowledge Engineer
Hyderabad, Telangana, India
Full Time
Products & Innovation
Senior Manager/Supervisor
AI Data & Knowledge Engineer (Vector + Semantic Intelligence)
Location: Hyderabad, India
Employment Type: Full-Time; Salaried
Compensation: Base Salary, Bonus, Stock Options, Medical
Job Description
About Innovapptive
Innovapptive is an enterprise SaaS company building an AI-powered Connected Worker Platform for industrial organizations. Our platform connects frontline workers, back-office systems, and assets in real-time to drive safety, reliability, and operational productivity.
Leading global enterprises including Shell, Hess, Westlake Chemical, Kimberly-Clark, Scott Miracle-Gro, and Newmont Mining, rely on Innovapptive to transform how work gets done across plants and field operations.
Our customers have achieved $50M+ EBITDA savings at a single enterprise, 10× improvement in frontline productivity, and 15–20% reductions in maintenance costs.
Innovapptive is recognized as a Leader in Frost & Sullivan's “Frost Radar 2025 - Augmented Connected Worker Platforms”, with acknowledgments from Gartner and LNS Research, and is backed by Vista Equity Partners and Tiger Global Management.
With headquarters in Houston and an engineering center in Hyderabad, we have 300+ employees across the U.S., India, and ANZ and are on a strong trajectory toward $100M ARR.
The Role
- The AI Data & Knowledge Engineer will architect and operationalize Innovapptive’s semantic data intelligence layer — building the pipelines, vector stores, and retrieval frameworks that supply contextual understanding to AI Agents and enterprise workflows.
- Reporting to the VP of Technology & Architecture, this role is responsible for designing the RAG (Retrieval
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