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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Innovations. As our 2026 AI Ethics Lead, you'll architect responsible AI frameworks for next-generation systems while pioneering industry standards. Join a multidisciplinary team at the intersection of technology and human values, where your strategic vision will directly influence how AI evolves to serve humanity. This role offers unparalleled impact in defining the ethical blueprint for 2026 and beyond.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for 2026 product roadmaps
  • Lead cross-functional audits of AI systems for bias mitigation and transparency
  • Establish stakeholder engagement protocols for diverse community input on AI deployment
  • Author thought leadership on emerging AI ethics challenges and regulatory landscapes
  • Partner with engineering teams to embed ethical-by-design principles in development lifecycles
  • Monitor global AI policy developments and advise on compliance strategies
  • Mentor junior team members in ethical AI methodologies and responsible innovation

Qualifications

  • PhD or Master's in Computer Science, Ethics, Philosophy, or related field with 8+ years' experience
  • Proven expertise in AI ethics frameworks (e.g., EU AI Act, NIST AI RMF)
  • Track record of publishing peer-reviewed research on algorithmic fairness or AI safety
  • Experience leading ethics initiatives in Fortune 500 tech companies
  • Deep understanding of machine learning systems and their societal impacts
  • Exceptional communication skills for translating complex ethics concepts to technical/non-technical audiences
  • Certification in AI governance (e.g., CEGAI) or equivalent practical experience

Required Skills

AI Ethics Governance Frameworks Algorithmic Fairness Regulatory Compliance Stakeholder Engagement Responsible AI Machine Learning Auditing Policy Development

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