Senior ML/GenAI Architect - Data & AI Platform

Amgen Inc.; United States; Remote; USD 144,000 - 195,000; Full time

Benefits offered by this job

Flexible work models

Competitive compensation

Professional development

Job summary

Amgen Inc. is seeking a Principal Architect to lead end-to-end design, development, and deployment of ML and Generative AI solutions across data engineering, ML models, and production workflows.

You will shape scalable lakehouse architectures on Databricks, Spark, SQL, Python, and cloud platforms (AWS/GCP/Azure), mentor engineers, and partner with business stakeholders to deliver measurable value. This remote role in the United States offers flexible work models, competitive compensation, and a

Qualifications

• Deep expertise in ML, DL, and GenAI
• Proven track record delivering production-grade ML/GenAI systems
• Experience designing scalable ML/GenAI architectures for distributed systems
• Proficiency in cloud platforms (AWS, Azure, GCP) and data pipelines
• Mentoring junior/mid engineers in data eng and AI/ML

Responsibilities

• Lead end-to-end design, development, and delivery of ML/GenAI solutions
• Architect data engineering and AI initiatives across lakehouse platforms
• Build robust data pipelines (batch and streaming) using Spark, SQL, Python
• Define evaluation, governance, and safety frameworks for ML/GenAI
• Collaborate with stakeholders to translate objectives into data-driven AI solutions

Skills

ML/GenAI expertise

ML/GenAI production

MLOps/LLMOps

System design

Python

Cloud platforms (AWS/GCP/Azure)

Mentorship

Databricks/Spark

Docker/Kubernetes

Data engineering

Education

Doctorate degree

Master’s degree

Bachelor’s degree

Tools

Databricks

Spark

SQL

Python

MLflow

Kubeflow

Airflow

CI/CD

Docker

Kubernetes

Job description

Amgen Inc. is seeking a Principal Architect to lead end-to-end design, development, and deployment of ML and Generative AI solutions across data engineering, ML models, and production workflows.

You will shape scalable lakehouse architectures on Databricks, Spark, SQL, Python, and cloud platforms (AWS/GCP/Azure), mentor engineers, and partner with business stakeholders to deliver measurable value. This remote role in the United States offers flexible work models, competitive compensation, and a