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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Horizon
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Horizon at the forefront of responsible AI innovation. As we approach 2026, we seek an AI Ethics & Governance Lead to architect frameworks ensuring ethical AI deployment across autonomous systems and quantum computing applications. You'll shape policies balancing technological advancement with human-centric values, collaborating with quantum research teams and regulatory bodies. This role requires strategic vision to navigate emerging ethical challenges while driving industry standards.

Responsibilities

  • Design and implement AI ethics governance frameworks for 2026-era autonomous systems
  • Partner with quantum computing researchers to identify ethical implications of next-gen algorithms
  • Develop compliance protocols for evolving AI regulations across federal and state jurisdictions
  • Lead cross-functional working groups on bias mitigation and transparency in AI decision-making
  • Advocate for ethical AI adoption through industry conferences and policy submissions
  • Conduct risk assessments for experimental AI deployments in healthcare and logistics
  • Mentor data scientists on responsible AI development practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 8+ years' experience
  • Proven track record in AI governance at Fortune 500 or regulatory bodies
  • Expertise in quantum computing ethics and autonomous system regulations
  • Published research on algorithmic bias mitigation or AI transparency
  • Deep understanding of US federal AI legislation (e.g., Algorithmic Accountability Act)
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Experience with cross-functional stakeholder management in tech environments
  • Strong background in policy development for emerging technologies

Required Skills

AI Ethics Quantum Computing Regulatory Compliance Policy Development Autonomous Systems Bias Mitigation Risk Assessment Stakeholder Management

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