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Artificial Intelligence 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the ethical frontier of artificial intelligence at Nexus Innovations. We're seeking a visionary 2026 AI Ethics Lead to design governance frameworks for next-generation AI systems. Join our multidisciplinary team at the intersection of technology and human values, where you'll influence how AI impacts society, business, and human rights.

This role demands a deep understanding of emerging AI paradigms and their societal implications. You'll collaborate with C-suite executives, research labs, and policymakers to establish ethical guardrails that balance innovation with responsibility. If you're passionate about ensuring AI serves humanity's best interests, this is your opportunity to define the future.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 technological capabilities
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Establish governance protocols for autonomous decision-making systems
  • Collaborate with product teams to embed ethical design principles into AI development lifecycles
  • Produce thought leadership on AI ethics for industry conferences and regulatory bodies
  • Manage stakeholder engagement across technical, legal, and social impact domains

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (Master's with 8+ years experience)
  • Proven expertise in AI governance frameworks (NIST, EU AI Act, etc.)
  • Experience with emerging technologies: quantum computing, neural-symbolic AI, and generative models
  • Deep understanding of sociotechnical systems and their unintended consequences
  • Exceptional communication skills for translating complex ethical concepts
  • Published research or policy contributions in AI ethics domain

Required Skills

AI Ethics Governance Quantum Computing Neural-Symbolic AI Policy Development Sociotechnical Systems Risk Assessment Stakeholder Engagement

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