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2026 AI Ethics Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of ethical AI at Nexus Innovations. As we pioneer 2026's most transformative technologies, we seek a visionary AI Ethics Lead to ensure our innovations align with humanity's highest values. Join our cross-disciplinary team at the intersection of machine learning, philosophy, and policy to define responsible AI frameworks that will shape the next decade.

You'll architect governance systems for autonomous decision-making engines, audit emerging neural architectures, and collaborate with quantum computing teams to preempt ethical dilemmas before they emerge. This is your chance to influence how society interacts with AI in 2026 and beyond.

Responsibilities

  • Design and implement ethical governance frameworks for generative AI systems
  • Conduct preemptive risk assessments for quantum-AI integration
  • Lead stakeholder dialogues on AI transparency and accountability
  • Develop certification protocols for autonomous decision-making models
  • Advise product teams on ethical AI implementation across 2026 technology roadmap
  • Author industry standards for neural network explainability
  • Monitor emerging AI ethics legislation and corporate policy impacts

Qualifications

  • PhD in AI Ethics, Philosophy, or related field with 5+ years applied experience
  • Published research on algorithmic bias mitigation or explainable AI
  • Expertise in quantum computing ethics and neural network architecture
  • Proven track record influencing corporate AI policy development
  • Deep understanding of 2026 technology trends (neuromorphic computing, AGI safety)
  • Experience with multi-stakeholder ethics governance frameworks
  • Strong background in regulatory compliance (GDPR, EU AI Act)

Required Skills

AI Ethics Quantum Computing Governance Frameworks Explainable AI Algorithmic Bias Mitigation Neuromorphic Computing Policy Development Stakeholder Engagement Neural Networks AGI Safety

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