This role pays less than
86%
of similar roles. Most pay
$162,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$149k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
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
90 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 89 roles with salary data.
Lead AI Platform Engineer serves as a pivotal role within the Product Development division, specifically supporting the ONCO Cancer Diagnostics business area. The individual is responsible for driving the strategic vision and technical execution of artificial intelligence initiatives, including the development and deployment of innovative solutions to solve complex problems. Day-to-day responsibilities involve leading machine learning, natural language processing, and large language model deliverables while collaborating with data scientists and software engineers to integrate models into production systems. The role involves building pipelines for batch and stream processing, retrieval augmented generation, and agentic frameworks. Required technical skills include Python, cloud platforms, and experience with fine-tuning LLMs, small language models, and teacher-student frameworks. The position focuses on ensuring reliability, scalability, and ethical AI practices while addressing data privacy and security concerns within the healthcare domain.
LLM
Python
C#.NET
JavaScript
TypeScript
React.js
Angular
Node.js
HTML
CSS
C
C++
API Design
Vector Search
Elasticsearch
Docker
Kubernetes
Multi-agent Systems
Python
C++
Go
Rust
Kubernetes
Ray
Slurm
vLLM
SGLang
Triton
PyTorch
JAX
ROCm
HIP
CUDA
MLflow
Weights & Biases
CI/CD
Distributed Systems
GPU Infrastructure