AI Platform Engineer
Abbott
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 87% of similar roles. Most pay $161,875–$232,112 — the blue band above. At the midpoint, this role pays about $149k versus about $197k 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.
Most-posted roles
At a glance
The Sr. Engineer, AI Platform joins the ONCO Cancer Diagnostics division to drive the strategic vision and technical execution for the Cancer Diagnostics AI/ML platform. This hands-on engineering leader is responsible for the architecture, reliability, scalability, and security of the infrastructure layers supporting large language models, predictive models, and agentic systems. Key responsibilities include designing the Kubernetes foundation, managing infrastructure-as-code and GitOps, and operating production model serving and GPU infrastructure. The role involves building workflow orchestration, event-streaming systems, and observability stacks while ensuring compliance with HIPAA, FDA, and GxP frameworks. Required skills include Python, machine learning frameworks, and cloud platforms, with preferred experience in Go, Rust, Knative, KEDA, and service mesh patterns to manage complex multi-tenant isolation and low-latency inference optimization.
What does a Engineer earn?
Median $178175 from 251 postings across 54 companies.
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