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AI Ethics & Governance Lead 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
6 Juli 2026
Deadline
6 Jul 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We seek a visionary AI Ethics & Governance Lead to shape ethical frameworks for our 2026 technology roadmap. This pivotal role bridges cutting-edge AI innovation with human-centered ethics, ensuring our systems align with societal values while driving competitive advantage. You'll collaborate with C-suite executives, engineers, and policymakers to embed ethical safeguards into autonomous systems, predictive analytics, and generative AI deployments.

Why Nexus Innovations? We're a B Corp-certified tech pioneer with 15+ patents in human-AI collaboration. Our work directly influences the ethical standards adopted by Fortune 500 companies and regulatory bodies. This role offers unparalleled visibility in shaping the next decade of AI governance.

Responsibilities

  • Design and implement ethical governance frameworks for AI systems deployed in critical infrastructure
  • Lead cross-functional audits of algorithmic bias and fairness in predictive models
  • Develop corporate policies for responsible AI development aligned with EU AI Act and NIST standards
  • Represent the organization in global AI ethics forums and regulatory consultations
  • Train engineering teams on ethical AI development practices and risk mitigation
  • Conduct societal impact assessments for emerging AI technologies

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible tech leadership
  • Deep expertise in global AI regulations (EU AI Act, NIST RMF, OECD principles)
  • Published work on algorithmic fairness or AI ethics in peer-reviewed journals
  • Experience with ethical impact assessments for large-scale AI deployments
  • Certification in AI governance (e.g., IEEE Ethically Aligned Design)
  • Proven ability to translate complex ethical concepts into technical requirements

Required Skills

AI Ethics Algorithmic Bias Regulatory Compliance Risk Assessment Policy Development Ethical AI Frameworks NIST Standards EU AI Act Cross-functional Leadership

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