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AI Ethics & Governance Director

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of shaping ethical AI frameworks for 2026. We're seeking a visionary AI Ethics & Governance Director to architect responsible innovation systems that balance technological advancement with human-centric values. Lead cross-functional teams in developing ethical AI standards, conduct bias audits across machine learning pipelines, and collaborate with policymakers to define next-gen regulatory frameworks. This role offers unparalleled influence in ensuring AI systems align with societal needs while driving commercial growth.

As a pioneer in responsible AI, you'll pioneer our 'Ethical-by-Design' certification program and represent Nexus at global tech ethics summits. We offer competitive equity packages, flexible hybrid work, and dedicated R&D budgets for groundbreaking research in algorithmic transparency.

Responsibilities

  • Architect and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory landscapes
  • Lead bias audits and fairness assessments across ML development lifecycles
  • Develop 'Ethical-by-Design' certification protocols for AI products
  • Partner with engineering teams to embed ethical safeguards into AI systems
  • Represent Nexus at global AI ethics summits and policy forums
  • Establish stakeholder engagement protocols for community impact assessments
  • Drive research initiatives in explainable AI and algorithmic transparency

Qualifications

  • PhD in Computer Science, Ethics, or related field with 10+ years' AI governance experience
  • Published research in algorithmic bias mitigation or AI ethics frameworks
  • Proven track record of scaling ethics programs in Fortune 500 tech companies
  • Expertise in EU AI Act, NIST AI RMF, and emerging 2026 regulatory landscapes
  • Deep understanding of ML fairness metrics (Demographic Parity, Equalized Odds)
  • Executive-level experience presenting ethical AI cases to C-suite and boards
  • Certification in Responsible AI from MIT or Stanford (required)

Required Skills

AI Ethics Governance Machine Learning Regulatory Compliance Algorithmic Bias Explainable AI Policy Development Risk Assessment

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