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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Futuristics
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Futuristics at the forefront of ethical AI development. We're seeking a visionary leader to shape responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI solutions drive progress while safeguarding societal trust. You'll collaborate with world-class researchers, policymakers, and engineers to build the ethical foundations of tomorrow's digital landscape.

What you'll achieve:

  • Design and implement AI governance frameworks for enterprise-scale deployments
  • Lead cross-functional initiatives to align AI systems with ethical standards and regulatory requirements
  • Champion responsible AI adoption through stakeholder education and advocacy

Responsibilities

  • Develop comprehensive AI ethics policies and audit protocols
  • Lead cross-functional teams in assessing AI system risks and biases
  • Collaborate with legal teams to ensure compliance with evolving AI regulations
  • Drive transparency initiatives through explainable AI methodologies
  • Establish industry benchmarks for ethical AI deployment
  • Represent the organization in AI ethics forums and policy discussions
  • Mentor teams on responsible AI development practices

Qualifications

  • Advanced degree in AI Ethics, Computer Science, Philosophy, or related field
  • 5+ years in AI governance, policy development, or ethics leadership
  • Deep expertise in EU AI Act, NIST AI Framework, and emerging regulations
  • Proven track record implementing ethical AI in production environments
  • Exceptional communication skills for translating complex concepts
  • Experience with bias mitigation and fairness metrics in ML systems
  • Published work or thought leadership in AI ethics domain

Required Skills

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

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