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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist (2026 Focus)

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development. As an AI Ethics Strategist, you'll shape responsible AI frameworks for 2026 and beyond. We seek a visionary leader to navigate the complex intersection of emerging technologies and human values. This role requires deep technical acumen coupled with philosophical foresight to build AI systems that advance society ethically.

Our team pioneers solutions for autonomous systems, generative AI governance, and bias mitigation. You'll collaborate with engineers, policymakers, and ethicists to create scalable ethical protocols that define industry standards for the next generation of AI.

Responsibilities

  • Design and implement ethical governance frameworks for AI systems deployed in 2026+
  • Lead cross-functional working groups on bias mitigation and algorithmic transparency
  • Develop predictive models for emerging AI risks and societal impacts
  • Advocate for ethical AI adoption with Fortune 500 clients and regulatory bodies
  • Research and publish white papers on quantum ethics and neuromorphic computing
  • Train engineering teams on responsible AI development practices
  • Establish KPIs for ethical AI performance and compliance

Qualifications

  • PhD in Philosophy, Ethics, Computer Science, or related field (Master's with 8+ years experience)
  • Proven expertise in AI ethics frameworks (e.g., EU AI Act, NIST RMF)
  • Experience with generative AI, autonomous systems, or biometric technologies
  • Published research in top-tier ethics or AI journals
  • Deep understanding of 2026 technology trends (quantum computing, AGI precursors)
  • Certification in Responsible AI (e.g., Google, Microsoft)
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Risk Management Policy Development Quantum Ethics Generative AI Algorithmic Bias Futurism

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