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AI Ethics Lead 2026

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizons Inc. at the forefront of ethical AI development for 2026. We're seeking an AI Ethics Lead to shape responsible AI frameworks that will define the next decade of technological advancement. This role bridges cutting-edge innovation with human-centric values, ensuring our AI solutions empower humanity while mitigating risks. You'll collaborate with world-class researchers, policymakers, and engineers to build ethical guardrails for autonomous systems, generative AI, and quantum computing applications.

What You'll Accomplish: Design auditable AI ethics frameworks, lead cross-functional ethics reviews, and pioneer industry standards for 2026's AI landscape. Your work will directly impact how billions interact with intelligent systems.

Responsibilities

  • Develop and implement AI ethics governance frameworks for 2026 technology deployments
  • Conduct bias audits and risk assessments for high-impact AI systems
  • Lead cross-functional ethics reviews with engineering, legal, and product teams
  • Represent Nexus Horizons at global AI ethics forums and policy summits
  • Create educational materials for internal teams on responsible AI development
  • Partner with regulators to shape emerging AI legislation and standards
  • Monitor evolving ethical challenges in generative AI and autonomous systems

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI ethics, responsible AI, or technology governance roles
  • Published research on AI ethics or demonstrated policy impact
  • Expertise in bias mitigation and fairness metrics for ML systems
  • Experience with ISO/IEC 42001 and NIST AI Risk Management Framework
  • Deep understanding of EU AI Act and global AI regulatory landscapes
  • Exceptional communication skills for translating complex concepts to diverse stakeholders

Required Skills

AI Ethics Responsible AI Governance Regulatory Compliance Bias Mitigation Machine Learning Ethics Policy Development Risk Assessment

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