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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Futura
Austin
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Futura at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary leader to architect responsible AI governance strategies that balance innovation with human-centric principles. This pivotal role will define how organizations navigate the complex ethical landscape of emerging technologies while driving sustainable business impact. You'll collaborate with C-suite executives, cross-functional teams, and global policymakers to embed ethical AI practices into our product lifecycle.

Why Nexus Futura? We're a mission-driven tech incubator specializing in 2026-readiness solutions. Our Austin headquarters features cutting-edge labs, flexible workspaces, and a culture of radical transparency. Employees receive annual innovation stipends, unlimited learning credits, and equity participation in our moonshot projects.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with 2026 technological advancements
  • Lead cross-functional task forces to assess AI system risks and bias mitigation
  • Establish governance protocols for generative AI and autonomous systems
  • Partner with product teams to embed ethical-by-design principles
  • Represent the organization in global AI ethics summits and policy forums
  • Conduct regular audits of AI implementations using proprietary assessment tools
  • Train leadership teams on ethical AI decision-making frameworks

Qualifications

  • Master's degree in AI Ethics, Computer Science, Philosophy, or related field
  • 5+ years in AI governance, risk management, or ethics compliance
  • Proven experience with NIST AI RMF, EU AI Act, and OECD principles
  • Expertise in bias detection algorithms and fairness metrics
  • Published thought leadership on responsible AI or ML governance
  • Experience scaling ethical programs across global organizations
  • Strong knowledge of quantum computing and neuromorphic chip implications
  • Certification in AI Governance or Responsible AI (e.g., CAG, RAI)

Required Skills

AI Ethics Governance Frameworks Risk Assessment Bias Mitigation Policy Development NIST AI RMF EU AI Act Quantum Computing Ethics Cross-functional Leadership

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