Responsible AI Manager - Agentic AI Governance

Amgen • Thousand Oaks, CA

2d • $126,511 - $171,161

About The Position

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 do
Let’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.

Requirements

• Doctorate degree
• 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
• Bachelor’s degree and 4 years in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI, AI governance, AI risk, or a related field
• Associate’s degree and 8 years in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI, AI governance, AI risk, or a related field
• High school diploma / GED and 10 years in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI, AI governance, AI risk, or a related field
• Technical fluency in AI/ML, generative AI, or agentic AI systems, including the ability to engage with technical teams on topics such as model and agent behavior, logging and telemetry, tool use, system prompts or instructions, configuration files, SDKs, APIs, and access controls.
• Strong understanding of AI risks and governance considerations, including human oversight, accountability and transparency, privacy, validity and reliability, appropriate use, and fairness and bias mitigation.
• Familiarity with AI regulatory, policy, or standards developments, such as the EU AI Act and NIST AI Risk Management Framework.
• Ability to work effectively across technical, legal, compliance, risk, cybersecurity, data science, and business teams, including influencing stakeholders without direct ownership of the underlying technology platforms.

Nice To Haves

• Prior hands-on experience in data science, machine learning, software development, AI product development, MLOps, LLMOps, platform governance, or technical AI risk management.
• Experience with agentic AI, generative AI platforms, AI assistants, custom AI tools, workflow automation, AI-enabled software features, runtime monitoring, or enterprise AI product governance.
• Experience translating Responsible AI, AI governance, risk, compliance, or regulatory expectations into practical business processes, governance requirements, technical control expectations, guidance, or operating models.
• Prior work in a regulated industry, such as biotechnology, pharmaceuticals, healthcare, financial services, or another environment with significant compliance, privacy, security, quality, or regulatory expectations.

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.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree