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AI Ethics & Governance Lead (2026 Vision)

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the technological landscape of 2026. We're seeking a visionary AI Ethics & Governance Lead to architect responsible AI frameworks for next-generation autonomous systems, biometric analytics, and quantum-integrated neural networks. This role sits at the intersection of policy, technology, and human values, ensuring our innovations advance humanity while mitigating existential risks.

You'll collaborate with C-suite executives, research labs, and global regulatory bodies to establish industry-first ethical standards. Our Austin hub offers unparalleled resources—including a quantum computing lab and ethical AI sandbox—to pioneer solutions that will define the next decade of technological progress.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026-era technologies
  • Lead cross-functional task forces on bias mitigation, transparency, and accountability
  • Partner with product teams to embed ethical safeguards in AI development lifecycles
  • Represent the company at global AI ethics summits and regulatory hearings
  • Develop predictive risk models for emerging AI applications (neurotech, autonomous weapons)
  • Establish audit protocols for AI decision-making systems
  • Mentor junior researchers in responsible AI methodologies

Qualifications

  • PhD in AI Ethics, Philosophy, Computer Science, or related field
  • 8+ years in AI governance or policy development with Fortune 500 tech companies
  • Published research on existential AI risks or algorithmic bias mitigation
  • Experience with ISO/IEC 42001 and NIST AI Risk Management Framework
  • Deep understanding of quantum computing implications for AI ethics
  • Fluency in regulatory landscapes across US/EU/Asia tech hubs
  • Track record of scaling ethical AI initiatives in high-growth environments

Required Skills

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

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