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AI Ethics Strategist 2026

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

Job Description

Shape the future of responsible AI at Nexus Innovations. We're seeking a visionary AI Ethics Strategist to lead our 2026 roadmap for ethical technology deployment. This pivotal role bridges cutting-edge AI development with human-centric values, ensuring our innovations drive positive societal impact while mitigating existential risks. You'll collaborate with C-suite executives, research scientists, and policymakers to embed ethical frameworks into our product lifecycle, influencing how 1B+ users interact with tomorrow's AI systems.

Join our mission to democratize ethical AI without compromising innovation. This hybrid role offers competitive equity, executive mentorship, and the opportunity to pioneer industry standards that will define the next decade of technological progress.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with 2026 regulatory landscapes and societal expectations
  • Lead cross-functional working groups to audit AI systems for bias, transparency, and accountability
  • Shape corporate policy on AI governance and responsible innovation practices
  • Represent Nexus in global forums on AI ethics, including UN summits and industry coalitions
  • Design ethics-by-default protocols for generative AI and autonomous systems
  • Train 500+ engineers on ethical AI development through our internal academy
  • Proactively identify emerging ethical risks in AI development cycles

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field with 8+ years AI governance experience
  • Proven track record of developing enterprise-wide AI ethics frameworks
  • Deep expertise in EU AI Act, NIST AI RMF, and global regulatory landscapes
  • Prior experience with generative AI safety protocols and alignment research
  • Exceptional stakeholder management skills with C-suite and government entities
  • Published research in top-tier ethics/tech journals (Nature, Science, etc.)
  • Fluency in technical AI concepts and their societal implications
  • Certification in Responsible AI from recognized institutions (e.g., Stanford, MIT)

Required Skills

AI Ethics Strategic Foresight Regulatory Compliance Generative AI Safety Policy Development Risk Assessment Stakeholder Governance Bias Mitigation

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