Senior Principal ML Engineer: GenAI & MLOps Leader

Amgen; United States; Remote; USD 187,000 - 254,000; Full time

Job summary

Amgen is seeking a Principal Machine Learning Engineer in the United States with remote options. You will own enterprise AI/ML architecture, set standards, and drive scalable GenAI initiatives across cloud and on-prem environments.

The role requires advanced degrees and extensive experience in ML engineering, with hands-on skills in Python, Docker/Kubernetes, and cloud platforms. You will mentor teams, influence roadmaps, and deliver measurable business value.

Qualifications

• Doctorate/Master/Bachelor/Associate/High school with many years in ML engineering required.
• Minimum 2 years of people management or leadership experience.
• Strong command of ML algorithms and enterprise ML/GenAI.
• Experience with GenAI tooling and modern ML platforms.

Responsibilities

• Own enterprise AI/ML architecture, standards, APIs, and guardrails across cloud/on-prem.
• Build production ML/GenAI solutions and lightweight apps with sub-second insights.
• Develop end-to-end ML pipelines including data ingestion, training, and evaluation.
• Integrate model services with UI components and business logic for low-latency insights.
• Establish observability, SLOs, and safe deploys with incident runbooks.
• Lead evaluation, drift detection, and automated retraining.

Skills

Leadership

Stakeholder management

Communication skills

Problem solving

Team collaboration

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Associate’s degree

High school diploma / GED

Tools

Docker

Kubernetes

Python

Java

AWS

Azure

GCP

SageMaker Pipelines

LangChain

Job description

Amgen is seeking a Principal Machine Learning Engineer in the United States with remote options. You will own enterprise AI/ML architecture, set standards, and drive scalable GenAI initiatives across cloud and on-prem environments.

The role requires advanced degrees and extensive experience in ML engineering, with hands-on skills in Python, Docker/Kubernetes, and cloud platforms. You will mentor teams, influence roadmaps, and deliver measurable business value.