Responsible AI Manager - Agentic AI Governance
Listed on 2026-08-03
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, Information Security & Data Protection
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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.
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 - Agentic AI Governance What you will doLet’s do this. Let’s change the world. The Responsible AI Manager, Agentic AI sits within the Amgen Responsible AI team in the Artificial Intelligence & Data Science organization. You will play a key role in shaping and operationalizing practical, risk-based governance for agentic AI across Amgen, helping ensure these technologies can be used broadly, responsibly, and with appropriate controls. By enabling innovation at scale while protecting trust, quality, safety, and compliance, this work helps Amgen advance AI responsibly in support of its mission.
You will enable governance-by-design for enterprise AI capabilities, while also defining governance approaches for other agentic AI adoption patterns, including third-party solutions and embedded or configurable agentic AI capabilities in existing or new software and platforms.
This position sits at the intersection of Responsible AI governance, risk and compliance, cybersecurity, law, data science, and enterprise AI platform enablement. You will work closely with teams that own and operate enterprise AI platforms, tools, and capabilities, to translate Responsible AI, compliance and regulatory expectations into actionable governance requirements.
Responsibilities- Lead the design, implementation, and continuous improvement of governance approaches for agentic AI, partnering with AI platform and product owners, data science teams, cybersecurity, legal, compliance, privacy, and quality functions.
- Translate Responsible AI expectations, organizational policies, and regulatory requirements into actionable governance requirements, operational processes, and user guidance.
- Define governance requirements for technical controls and safeguards, such as usage restrictions, access controls, human oversight, logging, anomaly detection, incident escalation, and mechanisms to pause, restrict, or disable AI-enabled functionality when appropriate.
- Monitor emerging AI technologies, risks, standards, and regulatory developments; assess their impact on the enterprise, and evolve governance frameworks, standards, and controls to enable responsible adoption of new AI capabilities.
- Develop and maintain Responsible AI policies, standards, playbooks, procedures, guidance, and other control documentation to support consistent AI governance, regulatory compliance, and audit readiness.
- Develop materials for leadership, governance forums, and cross-functional working groups, communicating risks, recommendations, decisions, implementation progress, and governance outcomes to support informed decision-making.
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 QualificationsDoctorate degree
OR
Master’s degree and 2 years of experience in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI, AI governance, AI risk, or a related field
OR
Bachelor’s degree and 4 years in AI/ML…
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