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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join our pioneering team at FutureTech Innovations to shape the ethical frontier of artificial intelligence. As we approach 2026, we seek an AI Ethics Lead to define responsible AI frameworks for next-generation systems. You'll collaborate with quantum computing researchers, neural network architects, and policy experts to ensure our innovations align with human values and regulatory standards.

This role offers unparalleled impact at the intersection of technology and philosophy. You'll lead cross-functional initiatives to audit algorithmic bias, develop transparent AI governance models, and advise on emerging ethical challenges in biometric integration and autonomous decision-making.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology stack
  • Lead bias audits across machine learning models and neural networks
  • Develop transparent explainability protocols for complex AI systems
  • Advocate for ethical considerations in product development lifecycle
  • Coordinate with regulatory bodies on emerging AI legislation
  • Train engineering teams on responsible AI deployment practices
  • Author position papers on quantum ethics and neuro-technology implications

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics governance or responsible AI leadership
  • Expertise in bias detection algorithms and fairness metrics
  • Experience with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Strong background in quantum computing or neural network architecture
  • Published work in top-tier ethics/technology journals
  • Certification in AI ethics or responsible AI (e.g., IBM, Google)
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Quantum Computing Neural Networks Algorithmic Bias Explainable AI Regulatory Compliance Governance Frameworks Philosophy of Technology

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