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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development as we shape the ethical frameworks for 2026. We're seeking visionary leaders to navigate the complex intersection of artificial intelligence and human values in an era of unprecedented technological advancement. This pivotal role will define how organizations deploy AI systems that prioritize transparency, fairness, and societal benefit.

Our team operates at the cutting edge of AI governance, collaborating with Fortune 500 companies, policymakers, and academic institutions to establish industry standards that will define the next decade. You'll lead initiatives that ensure AI deployments align with evolving regulatory landscapes while fostering innovation that drives meaningful progress.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory requirements
  • Lead cross-functional audits of AI systems for bias, transparency, and compliance
  • Design governance protocols for autonomous systems and generative AI deployments
  • Collaborate with engineering teams to embed ethical safeguards into AI development lifecycles
  • Represent the organization in high-stakes policy discussions on AI governance
  • Establish metrics for measuring AI's societal impact and ethical performance
  • Mentor emerging professionals in responsible AI practices

Qualifications

  • Advanced degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 8+ years in AI governance, compliance, or technology ethics leadership
  • Expertise in emerging AI regulations (EU AI Act, NIST frameworks, etc.)
  • Proven track record of developing enterprise-wide ethical AI policies
  • Deep understanding of algorithmic bias mitigation techniques
  • Experience testifying before legislative bodies or regulatory panels
  • Certification in AI ethics or governance (e.g., IEEE, ACM)
  • Published research on AI ethics or technology policy

Required Skills

AI Ethics Governance Regulatory Compliance Algorithmic Bias Policy Development Risk Assessment Autonomous Systems Generative AI

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