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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development as we shape ethical frameworks for 2026 and beyond. We seek a visionary AI Ethics & Governance Lead to design, implement, and audit AI systems that align with societal values, regulatory requirements, and human-centric principles. This senior role bridges cutting-edge technology with ethical foresight, ensuring our AI innovations drive positive global impact while mitigating risks.

You'll collaborate with cross-functional teams—from engineering to legal—to establish governance protocols, conduct bias audits, and develop transparency standards. This is a rare opportunity to define the ethical blueprint for tomorrow's AI landscape.

Responsibilities

  • Design comprehensive AI ethics frameworks and governance policies for enterprise-wide implementation
  • Conduct bias audits and risk assessments for AI models and datasets
  • Develop transparency protocols for AI decision-making processes
  • Lead stakeholder workshops to align AI development with ethical standards
  • Monitor emerging AI regulations (EU AI Act, US AI Bill of Rights) and ensure compliance
  • Create audit trails and reporting mechanisms for AI system accountability
  • Advocate for ethical AI principles in product roadmaps and strategic planning

Qualifications

  • Advanced degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or responsible AI implementation
  • Deep expertise in AI bias mitigation, fairness metrics, and explainable AI (XAI)
  • Experience with regulatory frameworks (GDPR, EU AI Act, NIST AI RMF)
  • Strong technical literacy in machine learning pipelines and data ethics
  • Proven ability to influence technical and non-technical stakeholders
  • Published research or industry leadership in AI ethics (e.g., ACM/IEEE ethics committees)

Required Skills

AI Ethics Governance Machine Learning Bias Mitigation Explainable AI Regulatory Compliance Stakeholder Management Technical Writing Risk Assessment

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