AI Data Platform Engineer
Apple Inc
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Market check
How this pay compares to similar roles
This role pays more than 73% of similar roles. Most pay $179,850–$260,262 — the blue band above. At the midpoint, this role pays about $258k versus about $220k for comparable roles.
Based on 240 similar postings.
Employer
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has 193 open roles on FindRole.
Listed pay typically runs $99,300–$198,700 across 123 roles with salary data.
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At a glance
The Head of AI and Data Platform leads the engineering execution for Lingo, a biosensing technology platform that tracks biomarkers like glucose and lactate. This leadership role requires a hands-on builder to define the technical architecture for AI, machine learning, and data infrastructure. You will design and own data ingestion pipelines, feature stores, model serving layers, and data lake designs while building AI-powered features like personalized metabolic insights and LLM-based conversational health experiences. Key responsibilities include establishing MLOps infrastructure, RAG pipeline architectures, and prompt engineering practices. You must utilize cloud platforms like Azure, AWS, or GCP to manage real-time biosensor data. The role solves the technical challenge of delivering scalable, production-ready AI systems within a regulated health context involving HIPAA, GDPR, and FDA software guidance.
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