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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead 2026

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Innovations. We seek a visionary AI Ethics & Governance Lead to architect responsible AI frameworks for 2026 and beyond. Join our cross-disciplinary team in Austin, TX to develop industry-leading standards that balance innovation with human values. This pivotal role requires strategic foresight and technical expertise to navigate the evolving landscape of AI ethics, ensuring our deployments remain transparent, fair, and aligned with societal expectations.

Responsibilities

  • Design and implement comprehensive AI governance frameworks for 2026 technology deployments
  • Lead cross-functional audits of AI systems for bias, privacy, and compliance risks
  • Develop stakeholder engagement strategies for transparent AI decision-making processes
  • Conduct horizon scanning for emerging ethical challenges in next-gen AI applications
  • Establish measurable KPIs for ethical AI performance across product lifecycle
  • Collaborate with policymakers to shape industry standards and regulatory frameworks
  • Build internal training programs on responsible AI development practices

Qualifications

  • Advanced degree in Computer Science, Ethics, Law, or related field with 8+ years AI governance experience
  • Proven track record in developing organizational AI ethics policies and procedures
  • Deep expertise in fairness metrics, explainable AI (XAI), and bias mitigation techniques
  • Familiarity with global AI regulations (EU AI Act, NIST AI RMF, etc.)
  • Exceptional communication skills for translating technical ethics concepts to diverse audiences
  • Experience leading cross-functional teams through complex ethical dilemmas
  • Published research or thought leadership in AI ethics or responsible AI

Required Skills

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

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