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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As our AI Ethics Lead, you'll shape the ethical framework for next-generation autonomous systems while leading a cross-functional team of researchers, engineers, and policy experts. This role offers unparalleled opportunity to influence global AI standards in an era of unprecedented technological acceleration.

We're seeking a visionary leader passionate about bridging cutting-edge AI innovation with human-centric values. You'll collaborate with C-suite executives and external stakeholders to develop governance protocols, conduct bias audits, and establish transparency standards for AI deployed across healthcare, finance, and infrastructure sectors.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks aligned with IEEE 7000 standards
  • Lead bias audits and impact assessments for autonomous decision systems
  • Develop transparency protocols for neural network explainability (XAI)
  • Chair cross-functional ethics committees with engineering, legal, and social science teams
  • Author white papers on AI governance for regulatory bodies and industry forums
  • Oversee third-party ethics audits and compliance certifications
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years leading AI ethics initiatives in regulated industries
  • Published research on algorithmic bias mitigation or explainable AI
  • Expertise in global AI regulations (EU AI Act, NIST AI RMF)
  • Proficiency in Python for bias detection tool development
  • Experience testifying before congressional committees on AI policy
  • Certification in Responsible AI from recognized institutions (e.g., Stanford HAI)

Required Skills

AI Ethics Governance Algorithmic Bias Explainable AI Regulatory Compliance Neural Networks Machine Learning Policy Development

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