AI Manager

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Responsible AI Manager

What you will do

Let’s do this. Let’s change the world. At Amgen, technology plays a meaningful role in advancing science and improving patients’ lives. As part of the AI & Data Science organization within AI&D data, the Responsible AI Manager will be essential in ensuring that AI is developed and used responsibly and in compliance with regulatory and ethical expectations across the enterprise.

Reporting to the Director of Responsible AI, this individual contributor role focuses on designing and operationalizing Amgen’s Responsible AI governance framework. You will help shape how Responsible AI is experienced by teams across Amgen – rethinking process flows, designing practical guidance and standards, and ensuring that governance is not only robust and auditable, but also understandable and accessible to the people who rely on it every day.

The role combines strong technical fluency with hands-on process design and execution and is well suited to a creative systems thinker who enjoys transforming how complex governance requirements into clear, intuitive, and scalable workflows.

Roles & Responsibilities:

AI Inventory & Lifecycle Governance

• Own Amgen’s AI systems inventory as a foundational governance asset and single source of truth, providing guidance to support inventory completeness, accuracy, and consistent characterization of AI systems.
• Guide AI systems as they progress through required Responsible AI assessments, ensuring outcomes are captured, routed to the appropriate process flow, and followed through via relevant governance actions and reviews.
• Monitor governance signals across the AI inventory, including assessment status, outcomes, and exceptions, to maintain continuous oversight of Responsible AI compliance.
• Use inventory and governance data to provide clear visibility, traceability, and audit-ready evidence of Responsible AI oversight across the enterprise.

Governance Process Design & Operation

• Design, implement, and operate Responsible AI governance processes across the AI lifecycle by integrating Responsible AI requirements into existing enterprise processes, in close partnership with AI & Data, Legal, Quality, Compliance, Cybersecurity, and Digital Trust teams.
• Translate Responsible AI governance objectives and requirements into clear, intuitive workflows, decision points, and documentation that are easy for teams to understand and apply in practice.
• Partner with cross-functional teams to rethink, test, and refine Responsible AI governance processes.
• Contribute to the development of practical guidance and guardrails related to AI platforms, tools, and use cases.
• Define and monitor governance-relevant metrics and signals across the AI inventory to maintain visibility into Responsible AI compliance and emerging risks.
• Use assessment outcomes, governance signals, and exceptions to support risk-based decision-making and prioritization within Responsible AI governance processes.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of computer science, AI/ML, data science, IT,…