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AI Ethics Lead 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at QuantumLeap Dynamics. As our AI Ethics Lead 2026, you'll architect responsible AI frameworks for next-generation systems while influencing global standards. Join a visionary team at the intersection of technology and humanity, where your expertise will define how AI evolves ethically across industries.

This role demands strategic vision and hands-on implementation. You'll collaborate with C-suite executives, research labs, and policymakers to embed ethical safeguards into AI development lifecycles. Your impact will resonate across our autonomous vehicles, healthcare AI, and financial forecasting platforms.

Responsibilities

  • Develop and implement corporate AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Partner with product teams to embed ethical design principles into AI development pipelines
  • Represent the company at international AI ethics summits and policy discussions
  • Establish KPIs for ethical AI performance and continuous improvement metrics
  • Lead crisis response protocols for AI ethics violations
  • Mentor ethics specialists across global R&D centers

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Published research on algorithmic bias mitigation or explainable AI (XAI)
  • Proven track record influencing AI policy at national or multinational level
  • Certification in AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Experience auditing high-stakes AI systems in regulated industries
  • Expertise in cross-cultural ethical analysis for global AI deployment
  • Fluency in emerging AI technologies (LLMs, autonomous systems, generative AI)

Required Skills

AI Ethics Algorithmic Bias Explainable AI AI Governance Policy Development Risk Assessment Machine Learning Ethics Autonomous Systems

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