Responsible AI Manager – Agentic AI Governance

🕒 July 30

🇺🇸 United States – Remote

💵 $126.5k - $171.2k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• 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

• 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

• 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