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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead (2026 Vision)

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence as Nexus Innovations pioneers responsible AI deployment for 2026. Join our mission to build technology that advances humanity while safeguarding privacy, equity, and societal trust. This senior leadership role demands visionary thinking and hands-on experience in developing robust governance frameworks for next-generation AI systems.

We offer competitive compensation, comprehensive benefits, and the opportunity to influence global AI policy. Our Austin hub features state-of-the-art facilities and a collaborative culture dedicated to technological innovation with conscience.

Responsibilities

  • Design and implement AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional teams in identifying bias mitigation strategies for autonomous systems
  • Develop transparency protocols for explainable AI in high-stakes applications
  • Conduct risk assessments for generative AI deployments in regulated industries
  • Partner with policymakers to shape emerging AI governance standards
  • Establish auditing mechanisms for continuous ethical compliance monitoring
  • Drive organizational adoption of responsible AI principles through training programs

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field
  • 8+ years in AI governance, data ethics, or responsible tech leadership
  • Proven experience developing ethics frameworks for autonomous systems
  • Expertise in bias detection and mitigation algorithms
  • Familiarity with EU AI Act, NIST AI RMF, and global AI policy trends
  • Strong background in stakeholder engagement across technical/non-technical domains
  • Published research or industry contributions to AI ethics discourse

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Explainable AI Regulatory Compliance Autonomous Systems Policy Development Risk Assessment Stakeholder Engagement

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