Principal AI/ML Engineer

Abbott

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $148,700–$297,300 / yr
Posted: 3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k

This role $223k

$131k most similar roles pay here $315k

This role pays more than 58% of similar roles. Most pay $174,462–$246,150 — the shaded band above. At the midpoint, this role pays about $223k versus about $210k 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 56 open roles on FindRole.

Listed pay typically runs $113,300–$226,700 across 54 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Principal AI/ML Engineer

Apply Now Log in to save

As a Principal AI/ML Engineer at Abbott’s Medical Devices Digital (MDD) team in Santa Clara, CA, you will lead the technical execution of advanced AI initiatives by designing and maintaining a robust ML platform that supports scalable engineering solutions. Your daily tasks include developing end-to-end ML solutions from data ingestion to deployment, architecting hybrid cloud/on-prem infrastructure for high availability and security, and implementing CI/CD workflows with strict regulatory compliance. You will collaborate closely with data scientists and engineers, ensuring effective AI solution deployments while mentoring junior team members and driving alignment with business leaders. The role requires deep experience in ML infrastructure, GenAI development, and proficiency in tools like Azure ML SDK, Databricks, and Kubernetes, along with a strong background in agile methodologies and cloud computing platforms.

Skills

AWS Kubernetes Terraform Docker CI/CD Azure ML SDK Azure Data Factory Databricks Spark SQL NoSQL Airflow Microservices MLOps GenAI RAG MCP Prompt Engineering Security by Design Scrum Kanban

What you'll do

Lead end-to-end ML solutions development and deployment.
Design a highly available, secure, scalable hybrid cloud/on-prem ML infrastructure.
Implement robust CI/CD workflows for ML models with compliance governance.
Ensure strict adherence to regulatory standards like HIPAA and GDPR.
Mentor ML engineers and establish coding standards and architectural reviews.

What we're looking for

Minimum 10+ years of experience in AI/ML engineering or equivalent education.
Deep expertise in building ML infrastructure and tools for experiment tracking and model serving.
Proficiency with cloud computing platforms, containerization technologies, and pipeline orchestration tools.
Strong understanding of database technologies and data modeling principles.
Significant experience working with agile software development methods and CI/CD pipelines.
Experience incorporating Security by Design principles into AI product development.
Demonstrated mentorship capabilities and team leadership in a technical environment.

Similar roles

Principal Engineer AI/ML

Adobe

San Jose 31 days ago $261,800–$379,100

Python PyTorch TensorFlow Keras CUDA Hugging Face JAX GPU TPU Data engineering Feature engineering A/B testing Machine Learning Deep Learning Transfer learning Scalable AI/ML systems Data drift management Model deployment Production-grade services Cross-functional collaboration

Save

AI/ML Engineer

Lam Research

Fremont, CA 64 days ago $119,000–$261,000

Python C++ PostgreSQL SQLite MySQL Git Domain-Driven Design Test-Driven Development CI/CD

Hybrid

Save

AI/ML Engineer

Booz Allen Hamilton

McLean, VA 71 days ago

Python PyTorch Keras LLMs LangGraph MCP A2A AWS CI/CD

Save

AI/ML Engineer

Booz Allen Hamilton

Norfolk, VA 60 days ago $77,500–$176,000

Python Spark Hadoop Databricks C# Java LLMs MCP LangChain LangGraph

Save

AI/ML Engineer

Booz Allen Hamilton

Norfolk, VA 3 days ago

Spark Hadoop Databricks Python Java Scala R TensorFlow Keras PyTorch CI/CD MLOps Git Jupyter Notebook PostgreSQL MongoDB AWS Azure Google Cloud Platform Kubernetes Docker

Save

Principal AI/ML Engineer, AV ML Infra

General Motors (GM)

Mountain View, California 24 days ago $275,800–$340,500

Python Golang C++ Google Cloud Platform Microsoft Azure Kubernetes Kubeflow Flyte Airflow RayServe vLLM Triton PostgreSQL NoSQL CI/CD

Hybrid

Save