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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Global Solutions
Austin
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 artificial intelligence at Nexus Global Solutions. As we approach 2026, our Austin-based team seeks an AI Ethics & Governance Lead to architect responsible AI frameworks that balance innovation with societal impact. Join a visionary organization pioneering ethical AI adoption across critical industries.

This role offers hybrid flexibility and the opportunity to influence global AI policy while working alongside world-class researchers and engineers. You'll lead initiatives ensuring our AI systems align with evolving regulatory landscapes and ethical standards.

Responsibilities

  • Design and implement enterprise-wide AI ethics frameworks and governance policies
  • Conduct bias audits and risk assessments for high-stakes AI deployments
  • Lead cross-functional committees on responsible AI development
  • Develop regulatory compliance strategies for emerging AI legislation
  • Create transparency protocols for automated decision-making systems
  • Represent the organization at international AI ethics forums and working groups
  • Mentor technical teams on ethical AI implementation best practices

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record developing ethical AI frameworks for Fortune 500 companies
  • Expertise in global AI regulations (EU AI Act, NIST AI RMF, etc.)
  • Strong background in machine learning model explainability and fairness metrics
  • Certification in AI ethics or responsible technology (e.g., IEEE, ACM)
  • Experience testifying before regulatory bodies on AI policy matters
  • Published work in peer-reviewed journals on AI ethics or algorithmic accountability

Required Skills

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

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