Responsible AI Manager - Agentic AI Governance
Amgen
September 02, 2026
Remote friendly (United States)
United States
IT
Responsible AI Manager - Agentic AI Governance
Responsibilities:
- Lead design, implementation, and continuous improvement of governance approaches for agentic AI.
- Translate Responsible AI expectations, policies, and regulatory requirements into actionable governance requirements, operational processes, and user guidance.
- Define technical controls and safeguards (usage restrictions, access controls, human oversight, logging, anomaly detection, incident escalation, and ability to pause/restrict/disable functionality).
- Monitor emerging AI technologies/risks/standards/regulations and evolve governance frameworks and controls.
- Develop and maintain Responsible AI policies, standards, playbooks, procedures, guidance, and control documentation for compliance and audit readiness.
- Prepare materials for leadership and cross-functional governance forums; communicate risks, recommendations, decisions, progress, and outcomes.
Basic Qualifications:
- Doctorate degree
OR
- Master’s degree + 2 years in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI/AI governance/AI risk (or related field)
OR
- Bachelor’s degree + 4 years in the above areas
OR
- Associate’s degree + 8 years in the above areas
OR
- High school diploma/GED + 10 years in the above areas
Preferred Qualifications (Must-Have Skills):
- Technical fluency in AI/ML, generative AI, or agentic AI (model/agent behavior, logging/telemetry, tool use, system prompts/instructions, configs, SDKs, APIs, access controls).
- Strong understanding of AI risks/governance: human oversight, accountability/transparency, privacy, validity/reliability, appropriate use, fairness/bias mitigation.
- Familiarity with AI regulations/standards (e.g., EU AI Act, NIST AI RMF).
- Ability to partner across technical, legal, compliance, risk, cybersecurity, data science, and business teams.
Nice-to-Have:
- Hands-on experience in data science/ML/software/AI product development, MLOps/LLMOps, platform governance, or technical AI risk management.
- Experience with agentic/genAI platforms, AI assistants/tools, workflow automation, runtime monitoring, or enterprise AI governance.
- Experience translating Responsible AI/governance/risk/compliance expectations into practical operating models.
- Regulated industry experience (biotech, pharma, healthcare, financial services, etc.).
Benefits (if applicable):
- Health and welfare plans (medical/dental/vision), life and disability insurance, flexible spending accounts; retirement and savings plan; discretionary annual bonus/incentive; stock-based long-term incentives; time-off; flexible work models where possible.
Application Instructions:
- Apply via careers.amgen.com (no application deadline; applications accepted until sufficient number/selection).
Responsibilities:
- Lead design, implementation, and continuous improvement of governance approaches for agentic AI.
- Translate Responsible AI expectations, policies, and regulatory requirements into actionable governance requirements, operational processes, and user guidance.
- Define technical controls and safeguards (usage restrictions, access controls, human oversight, logging, anomaly detection, incident escalation, and ability to pause/restrict/disable functionality).
- Monitor emerging AI technologies/risks/standards/regulations and evolve governance frameworks and controls.
- Develop and maintain Responsible AI policies, standards, playbooks, procedures, guidance, and control documentation for compliance and audit readiness.
- Prepare materials for leadership and cross-functional governance forums; communicate risks, recommendations, decisions, progress, and outcomes.
Basic Qualifications:
- Doctorate degree
OR
- Master’s degree + 2 years in AI/ML product development, MLOps/LLMOps, data science, software engineering, Responsible AI/AI governance/AI risk (or related field)
OR
- Bachelor’s degree + 4 years in the above areas
OR
- Associate’s degree + 8 years in the above areas
OR
- High school diploma/GED + 10 years in the above areas
Preferred Qualifications (Must-Have Skills):
- Technical fluency in AI/ML, generative AI, or agentic AI (model/agent behavior, logging/telemetry, tool use, system prompts/instructions, configs, SDKs, APIs, access controls).
- Strong understanding of AI risks/governance: human oversight, accountability/transparency, privacy, validity/reliability, appropriate use, fairness/bias mitigation.
- Familiarity with AI regulations/standards (e.g., EU AI Act, NIST AI RMF).
- Ability to partner across technical, legal, compliance, risk, cybersecurity, data science, and business teams.
Nice-to-Have:
- Hands-on experience in data science/ML/software/AI product development, MLOps/LLMOps, platform governance, or technical AI risk management.
- Experience with agentic/genAI platforms, AI assistants/tools, workflow automation, runtime monitoring, or enterprise AI governance.
- Experience translating Responsible AI/governance/risk/compliance expectations into practical operating models.
- Regulated industry experience (biotech, pharma, healthcare, financial services, etc.).
Benefits (if applicable):
- Health and welfare plans (medical/dental/vision), life and disability insurance, flexible spending accounts; retirement and savings plan; discretionary annual bonus/incentive; stock-based long-term incentives; time-off; flexible work models where possible.
Application Instructions:
- Apply via careers.amgen.com (no application deadline; applications accepted until sufficient number/selection).