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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

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

Job Description

Shape the ethical frontier of AI at Nexus Innovations. As we approach 2026, we're seeking a visionary AI Ethics & Governance Lead to architect responsible AI frameworks that will define the next decade of technological advancement. You'll collaborate with C-suite executives to embed ethical principles into our AI lifecycle while pioneering industry standards for transparent, auditable, and human-centric systems.

Join our multidisciplinary team where cutting-edge innovation meets profound responsibility. This role offers unparalleled influence in shaping how AI will transform industries while safeguarding human dignity and societal trust.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of AI systems for bias, fairness, and transparency
  • Advocate for ethical AI principles in product design and engineering processes
  • Establish governance protocols for third-party AI integrations and vendor management
  • Drive stakeholder engagement through executive briefings and industry forums
  • Author thought leadership on emerging AI ethics challenges and mitigation strategies
  • Mentor teams on responsible AI deployment and ethical decision-making frameworks

Qualifications

  • PhD or Master's in AI Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible tech leadership roles
  • Expertise in EU AI Act, NIST AI RMF, and emerging global AI regulations
  • Proven track record of designing ethical AI frameworks for large-scale deployments
  • Deep understanding of algorithmic bias mitigation techniques and fairness metrics
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Certification in AI ethics or responsible AI governance (e.g., CERA, CAIG)

Required Skills

AI Ethics Governance Regulatory Compliance Bias Mitigation Strategic Planning Stakeholder Management NIST AI RMF EU AI Act Machine Learning

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