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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead 2026

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

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Innovations. As our AI Ethics Lead 2026, you'll architect governance frameworks for next-generation AI systems while ensuring alignment with human values and societal impact. Join a multidisciplinary team of technologists, philosophers, and policy experts to define responsible AI standards that will shape the digital landscape of 2026.

This role demands visionary leadership in navigating complex ethical dilemmas at the intersection of technology and humanity. You'll partner with C-suite executives to embed ethical considerations into product development lifecycles and pioneer industry best practices that balance innovation with accountability.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 technological capabilities
  • Lead cross-functional ethics audits for AI systems across product lines
  • Collaborate with legal teams to ensure compliance with evolving AI regulations
  • Design and implement bias detection/mitigation protocols for ML pipelines
  • Establish transparent AI governance models for stakeholder communication
  • Drive industry thought leadership through whitepapers and conference presentations
  • Mentor junior ethicists and build organizational AI ethics competency

Qualifications

  • PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 10+ years experience in AI governance, ethics, or responsible tech roles
  • Expertise in bias mitigation techniques and fairness metrics for ML systems
  • Proven track record of developing enterprise-scale AI governance policies
  • Deep understanding of global AI regulatory landscapes (EU AI Act, US frameworks)
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Experience with ethical impact assessments for large-scale AI deployments

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Ethical AI Frameworks Stakeholder Communication Policy Development

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