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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of ethical AI development. We're seeking an AI Ethics & Governance Lead to shape responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centered ethics, ensuring our innovations advance society while mitigating risks. You'll collaborate with cross-disciplinary teams to build transparent, auditable AI systems that align with global regulatory standards and ethical best practices.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with EU AI Act, NIST guidelines, and emerging 2026 regulations
  • Lead cross-functional governance committees for high-stakes AI deployments in healthcare and autonomous systems
  • Conduct bias audits and impact assessments for generative AI models using explainable AI tools
  • Design stakeholder engagement protocols for public consultation on AI policy and societal impact
  • Establish continuous monitoring systems for model drift and ethical compliance
  • Produce annual AI ethics transparency reports for board and regulatory stakeholders
  • Train engineering teams on responsible AI development lifecycle (RAI-DL)

Qualifications

  • PhD or Master's in Computer Science, Ethics, Public Policy, or related field with 5+ years AI governance experience
  • Deep expertise in global AI regulations (EU AI Act, AI Bill of Rights, OECD principles)
  • Proven track record designing ethics-by-design frameworks for enterprise AI systems
  • Strong background in risk assessment for high-impact AI applications
  • Experience facilitating multi-stakeholder consensus-building on ethical technology
  • Familiarity with MLOps tools for model governance (e.g., MLflow, Kubeflow)
  • Published research or practical implementation of ethical AI frameworks preferred

Required Skills

AI Ethics Regulatory Compliance Risk Assessment Stakeholder Engagement Explainable AI MLOps Policy Development Governance Frameworks

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