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2026 AI Ethics Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 175.000 – USD 225.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Innovations as we pioneer the ethical frontier of artificial intelligence. We're seeking a visionary 2026 AI Ethics Lead to shape responsible AI frameworks for tomorrow's transformative technologies. This role sits at the intersection of cutting-edge innovation and human-centric values, ensuring our AI systems advance society while safeguarding ethical principles.

As a key member of our Future Horizons division, you'll collaborate with global tech leaders to develop governance protocols for generative AI, bias mitigation strategies, and transparent algorithmic decision-making. You'll influence industry standards through thought leadership and hands-on implementation of ethical AI practices across autonomous systems, predictive analytics, and human-AI collaboration platforms.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of AI systems for bias, fairness, and transparency
  • Develop corporate policies for responsible AI development and deployment
  • Advocate for ethical AI standards in industry coalitions and regulatory bodies
  • Train engineering teams on ethical AI implementation best practices
  • Conduct ongoing risk assessments for emerging AI technologies
  • Author thought leadership publications on AI ethics and societal impact

Qualifications

  • PhD or Master's in AI Ethics, Philosophy, Computer Science, or related field
  • 8+ years in AI governance, compliance, or ethical technology leadership
  • Expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Proven track record implementing bias mitigation in production AI systems
  • Deep understanding of philosophical frameworks (utilitarianism, deontology, virtue ethics)
  • Experience testifying before regulatory bodies on AI ethics
  • Published research in peer-reviewed AI ethics journals
  • Fluency in Python and ML model interpretability tools

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Algorithmic Transparency Risk Assessment Policy Development Thought Leadership

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