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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary AI Ethics Strategist to design governance systems that balance innovation with human values. Lead cross-functional teams to embed ethical principles into AI lifecycles while navigating emerging regulatory landscapes. This role offers the opportunity to define industry standards for responsible AI deployment in high-stakes sectors.

Our ideal candidate thrives at the intersection of technology and philosophy, translating complex ethical dilemmas into actionable policies. You'll collaborate with quantum computing researchers and neuromorphic engineers to develop preemptive ethical safeguards, ensuring our AI systems prioritize transparency, fairness, and human autonomy in an increasingly automated world.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory requirements
  • Conduct bias audits and impact assessments for autonomous systems
  • Design ethical review protocols for generative AI and neural interfaces
  • Advise leadership on ethical implications of quantum-AI convergence
  • Create stakeholder engagement strategies for transparent AI governance
  • Lead cross-functional ethics task forces with engineering and product teams
  • Research emerging ethical challenges in neuromorphic computing

Qualifications

  • PhD in Ethics, Philosophy, or Computer Science with AI specialization
  • 5+ years in AI governance or responsible AI implementation
  • Expertise in bias mitigation and fairness metrics for ML systems
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Published research in top-tier AI ethics journals/conferences
  • Experience with neuromorphic computing and quantum AI ethics
  • Certification in AI ethics (e.g., IEEE, ACM)
  • Proficiency in ethical impact assessment methodologies

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Quantum Ethics Neuromorphic Systems Stakeholder Engagement Risk Assessment Philosophy of Technology ML Transparency

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