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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Director

FutureSafe Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join FutureSafe Technologies at the forefront of ethical AI innovation. As we prepare for the technological landscape of 2026, we seek a visionary AI Ethics & Governance Director to shape responsible AI frameworks. You'll lead our cross-functional team in developing robust governance protocols that balance innovation with human-centric values. This pivotal role requires strategic thinking to navigate complex ethical dilemmas while maintaining competitive advantage in the evolving AI ecosystem.

We offer comprehensive benefits including equity options, flexible work arrangements, and a dedicated innovation lab. Your expertise will directly influence how Fortune 500 companies implement ethical AI by 2026, positioning you as a thought leader in this critical domain.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory projections
  • Lead cross-functional teams in ethical AI integration across product development cycles
  • Establish governance protocols for AI decision-making transparency and accountability
  • Conduct risk assessments for emerging AI technologies including generative systems
  • Collaborate with policymakers to shape future AI legislation and industry standards
  • Create audit mechanisms for algorithmic bias and fairness in high-impact applications
  • Present ethical AI strategies to C-suite executives and external stakeholders

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (Ph.D. preferred)
  • 8+ years in AI governance, compliance, or ethical technology leadership
  • Expertise in developing AI ethics frameworks for enterprise-scale implementations
  • Deep understanding of evolving global AI regulations (EU AI Act, NIST frameworks)
  • Proven experience in bias mitigation and algorithmic fairness validation
  • Strong background in stakeholder engagement and executive communication
  • Published research or industry recognition in responsible AI practices

Required Skills

AI Ethics Governance Regulatory Compliance Algorithmic Auditing Risk Assessment Stakeholder Management Policy Development Machine Learning Ethics

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