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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist - 2026 Visionary Role

Nexus Innovations
San Francisco
Estimated Salary
USD 220.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer ethical AI frameworks for 2026. As our AI Ethics Strategist, you'll architect the moral backbone of tomorrow's intelligent systems, ensuring innovation aligns with humanity's highest values. This executive-level role empowers you to shape industry standards while leading a cross-disciplinary team of ethicists, engineers, and policymakers.

We offer unparalleled benefits including unlimited learning stipends, flexible hybrid work, and equity in a company ranked among Fast Company's 'Most Innovative Tech Organizations 2025'. Your impact will resonate across sectors as we redefine responsible AI adoption.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional initiatives to audit AI systems for bias, transparency, and societal impact
  • Develop industry-first ethical AI governance protocols and training programs
  • Advocate for ethical AI standards at international forums and regulatory bodies
  • Collaborate with product teams to embed ethical considerations into AI lifecycle development
  • Proactively identify emerging ethical risks in generative AI and quantum computing applications

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years applied AI ethics experience
  • Proven track record in developing enterprise-wide AI governance frameworks
  • Deep expertise in bias mitigation, explainable AI (XAI), and fairness metrics
  • Experience advising C-suite executives on ethical technology adoption
  • Published research in top-tier journals/conferences on AI ethics or responsible innovation
  • Familiarity with 2026 EU AI Act, NIST AI RMF, and emerging global regulations

Required Skills

AI Ethics Governance Machine Learning Policy Development Bias Mitigation Explainable AI Risk Assessment Regulatory Compliance

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