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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Future Technologies as a pioneering AI Ethics Officer to shape the future of responsible artificial intelligence. As we approach 2026, this role is critical in ensuring our AI systems align with human values, societal norms, and regulatory frameworks. You'll lead the development of ethical AI governance frameworks, conduct risk assessments, and collaborate with cross-functional teams to embed ethics into our AI lifecycle. This is a unique opportunity to influence the trajectory of AI development while driving innovation with integrity.

Responsibilities

  • Design and implement comprehensive AI ethics policies and governance frameworks for 2026 compliance
  • Conduct ethical risk assessments and audits for AI systems and algorithms
  • Develop transparency and explainability protocols for AI decision-making processes
  • Collaborate with engineering and product teams to embed ethical considerations into AI development
  • Lead stakeholder engagement on AI ethics, including regulators, customers, and advocacy groups
  • Monitor emerging ethical challenges and regulatory trends in AI and machine learning
  • Create training programs to foster ethical AI awareness across the organization

Qualifications

  • Advanced degree in Ethics, Philosophy, Law, Computer Science, or AI with 5+ years of relevant experience
  • Deep expertise in AI ethics frameworks, including EU AI Act, NIST AI RMF, and ACM Code of Ethics
  • Proven experience developing AI governance policies and risk mitigation strategies
  • Exceptional analytical skills to assess complex ethical dilemmas in AI systems
  • Strong communication abilities to articulate ethical concepts to technical and non-technical audiences
  • Experience with bias detection and mitigation in machine learning models
  • Knowledge of emerging AI technologies (LLMs, generative AI, autonomous systems) and their societal impacts

Required Skills

AI Ethics Governance Risk Assessment Regulatory Compliance Bias Mitigation Stakeholder Engagement Explainable AI Policy Development

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