Director, AI & ML Strategy and Platform

Amgen

United States

On-site

USD 300,000 - 400,000

Full time

10 hours ago
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Job summary

Amgen is seeking a Director of AI & Machine Learning to lead AI strategy across R&D, clinical, medical, operations, and commercial priorities. You will translate scientific needs into scalable, production‑grade AI capabilities and guide architecture decisions.

The role combines hands‑on ML leadership with product thinking, governance, and cross‑functional influence. You will build high‑performing teams, drive measurable outcomes, partner with scientists and platform teams, and speak clearly to

Qualifications

  • PhD or equivalent with extensive AI/ML leadership experience in science/biotech.
  • Strong Python and modern ML frameworks; cloud and data platform familiarity.
  • Certifications in cloud/AI/ML are a plus.
  • Experience leading teams and managing resources.

Responsibilities

  • Set AI/ML strategy and roadmap aligned to R&D and operations.
  • Lead design, validation, and scale-up of ML, generative AI, and agentic AI solutions.
  • Establish scalable ML architecture and reusable engineering patterns.
  • Guide MLOps and data platform strategy, governance, and lifecycle operations.
  • Build and lead high-performing ML teams and drive measurable value.

Skills

AI/ML leadership
Production systems
MLOps & lifecycle
Responsible AI governance
People leadership
Stakeholder management
Generative AI strategy

Education

Doctorate degree
Master's degree
Bachelor's degree

Tools

Python
PyTorch
TensorFlow
JAX
Azure
Databricks
Snowflake
Cloud platforms

Job description

Amgen is seeking a Director of AI & Machine Learning to lead AI strategy across R&D, clinical, medical, operations, and commercial priorities. You will translate scientific needs into scalable, production‑grade AI capabilities and guide architecture decisions.

The role combines hands‑on ML leadership with product thinking, governance, and cross‑functional influence. You will build high‑performing teams, drive measurable outcomes, partner with scientists and platform teams, and speak clearly to

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