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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Horizons
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizons at the forefront of ethical AI innovation as we shape the responsible future of artificial intelligence. We're seeking a visionary AI Ethics & Governance Lead to architect frameworks ensuring AI systems align with human values, regulatory compliance, and societal benefit. This role bridges cutting-edge technology with profound ethical considerations, influencing how AI impacts humanity through 2030 and beyond.

Why Nexus Horizons? We're a pioneering AI research conglomerate developing next-generation autonomous systems for healthcare, climate modeling, and space exploration. Our Austin hub combines Silicon Valley agility with Texas ingenuity, offering unmatched resources to tackle humanity's most complex challenges.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits and risk assessments across machine learning pipelines
  • Collaborate with product teams to embed ethical principles in AI lifecycle
  • Develop compliance strategies for evolving international AI regulations
  • Lead stakeholder engagement on ethical AI standards with policymakers
  • Author whitepapers on responsible AI deployment for 2026+ initiatives
  • Mentor cross-functional teams on ethical AI implementation

Qualifications

  • Master's degree in Computer Science, Ethics, or related field (PhD preferred)
  • 5+ years in AI governance, compliance, or ethics leadership roles
  • Expertise in bias mitigation techniques for ML systems
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging regulations
  • Experience with ethical AI frameworks (e.g., IEEE 7000, ACM Code of Ethics)
  • Published research or industry contributions to AI ethics discourse
  • Strong background in at least one ML framework (TensorFlow, PyTorch)
  • Exceptional communication skills for technical/non-technical audiences

Required Skills

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

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