Responsible AI Manager – Agentic AI Governance

Amgen

Responsible AI Manager developing governance for agentic AI within Amgen's AI team. Key role in ensuring responsible AI technologies are broadly used while maintaining compliance and trust.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $126,511 - $171,161 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Governance, Responsible AI, and AI Risk Management, with a strong ability to translate regulatory requirements into actionable processes and controls. Proven experience in collaborating across technical and non-technical teams to ensure compliance and effective governance of AI technologies.

Highest-signal resume keywords

AI GovernanceResponsible AIAI Risk ManagementMLOps/LLMOpsData Science

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Product DevelopmentGenerative AITechnical ControlsIncident EscalationAnomaly DetectionLogging and TelemetryModel BehaviorAccess ControlsGovernance RequirementsOperational Processes

Soft Skills

Stakeholder InfluenceCross-Functional CollaborationCommunication

Tools & Technologies

SDKsAPIsAI AssistantsWorkflow AutomationRuntime Monitoring

Industry Keywords

EU AI ActNIST AI Risk Management FrameworkRegulated IndustryCompliancePrivacy

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Doctorate 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 product development, MLOps/LLMOps, data science, software engineering, Responsible AI, AI governance, AI risk, or a related field OR 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 OR 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.
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.

Benefits

Comp & perks

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
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