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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Horizons Inc.
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizons Inc. at the forefront of responsible AI innovation. We're seeking a visionary AI Ethics & Governance Lead to shape our 2026 roadmap for ethical AI deployment. This role bridges cutting-edge technology with human-centered principles, ensuring our AI solutions advance humanity while safeguarding privacy, equity, and transparency. You'll collaborate with world-class engineers, policymakers, and ethicists to build governance frameworks that set industry standards. If you're passionate about democratizing AI responsibly, this is your moment to redefine the future.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for 2026 product roadmap
  • Conduct bias audits and risk assessments for AI systems using ML fairness metrics
  • Advocate for ethical AI design principles across 15+ cross-functional development teams
  • Establish stakeholder engagement protocols with regulators, NGOs, and user communities
  • Create transparent AI explainability protocols for high-stakes decision systems
  • Lead incident response protocols for AI-related ethical breaches
  • Author white papers on emerging AI governance paradigms for industry conferences

Qualifications

  • PhD or Master's in Computer Science, Ethics, Policy, or related field with 5+ years AI governance experience
  • Proven expertise in implementing AI ethics frameworks (e.g., EU AI Act, NIST RMF)
  • Deep knowledge of ML fairness metrics (bias, explainability, robustness)
  • Experience influencing technical teams through ethical persuasion strategies
  • Published research in AI ethics or demonstrated policy impact
  • Expertise in global regulatory landscapes (US, EU, APAC)
  • Certification in AI governance (e.g., IEEE Ethically Aligned Design)

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Algorithmic Bias Auditing Stakeholder Engagement Explainable AI Policy Development Risk Assessment

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