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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of responsible AI innovation. We're seeking a visionary AI Ethics & Governance Lead to shape ethical frameworks for autonomous systems and generative AI deployments through 2026. You'll architect policies that balance technological advancement with human-centric values while ensuring compliance with evolving global regulations. This role demands a blend of technical acumen, philosophical depth, and strategic foresight to pioneer ethical AI practices that will define the next decade of technological progress.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for autonomous systems and generative AI models.
  • Develop governance protocols for bias mitigation, transparency, and accountability in AI deployments.
  • Lead cross-functional task forces including engineers, legal, and product teams to align AI initiatives with ethical standards.
  • Monitor global regulatory landscapes (EU AI Act, US AI Bill of Rights) and adapt compliance strategies.
  • Conduct algorithmic audits and risk assessments for high-impact AI systems.
  • Establish stakeholder engagement programs for public consultation on AI ethics.
  • Drive research on emerging ethical challenges in quantum computing and neuromorphic systems.

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years in AI governance.
  • Proven experience implementing ethical AI frameworks in regulated industries (healthcare, finance, or autonomous systems).
  • Deep expertise in global AI regulations and standards bodies (ISO/IEC, NIST, IEEE).
  • Exceptional communication skills for translating complex ethical concepts to technical and non-technical audiences.
  • Published research on algorithmic bias, explainability, or moral philosophy in AI.
  • Experience leading cross-organizational ethics committees or working groups.
  • Proficiency in AI development lifecycle and model interpretability tools (SHAP, LIME).

Required Skills

AI Ethics Algorithmic Governance Regulatory Compliance Risk Assessment Explainable AI Bias Mitigation Policy Development Stakeholder Engagement

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