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2026 AI Ethics Lead

Nexus Innovations
Austin
Estimated Salary
USD 140.000 – USD 180.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Innovations as we pioneer ethical AI frameworks for 2026. We're seeking a visionary leader to shape responsible AI development at scale. This hybrid role combines strategic oversight with hands-on governance for our next-gen autonomous systems. You'll collaborate with C-suite executives, research labs, and global regulators to build sustainable AI ecosystems that prioritize human dignity and societal benefit.

Our Austin headquarters offers a dynamic environment where innovation meets purpose. Enjoy competitive benefits, flexible work arrangements, and opportunities to present at international AI ethics conferences.

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026 product roadmap
  • Lead cross-functional committees to audit algorithmic fairness and bias mitigation
  • Represent the company at global AI policy forums and industry consortiums
  • Establish KPIs for ethical AI performance across autonomous systems
  • Train engineering teams on responsible AI development practices
  • Conduct scenario planning for emerging ethical dilemmas in generative AI
  • Author white papers on AI ethics for regulatory bodies and academic journals

Qualifications

  • PhD in Ethics, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record of implementing ethical AI frameworks in Fortune 500 companies
  • Deep expertise in EU AI Act, NIST RMF, and emerging global AI regulations
  • Published research on algorithmic bias or explainable AI (top-tier conferences)
  • Experience leading cross-functional ethics committees with technical and non-technical stakeholders
  • Strong public speaking skills for policy advocacy and executive communication
  • Certification in Responsible AI from recognized institutions (e.g., Stanford, MIT)
  • Fluency in Python for AI system auditing capabilities

Required Skills

AI Ethics Algorithmic Governance Regulatory Compliance Machine Learning Auditing Policy Development Cross-functional Leadership Explainable AI Bias Mitigation

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