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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Compliance Director

FutureGuardian Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the forefront of responsible AI innovation as FutureGuardian Technologies pioneers ethical frameworks for 2026's autonomous systems. We're seeking a visionary AI Ethics & Compliance Director to shape industry standards and ensure our AI solutions prioritize human welfare, fairness, and transparency. Lead cross-functional teams in developing cutting-edge governance protocols while navigating evolving regulatory landscapes. This role offers unparalleled impact at the intersection of technology, policy, and societal progress.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory requirements
  • Lead cross-functional audits of AI systems to identify bias, fairness, and transparency gaps
  • Collaborate with policymakers to shape emerging AI legislation and standards
  • Design AI impact assessment methodologies for autonomous systems deployment
  • Train engineering teams on responsible AI development practices
  • Establish stakeholder engagement protocols for diverse community input
  • Oversee compliance with evolving international AI regulations

Qualifications

  • Master's degree in Ethics, Computer Science, Law, or related field (PhD preferred)
  • 8+ years in AI governance, compliance, or ethics leadership roles
  • Expertise in bias mitigation and fairness metrics for machine learning systems
  • Proven experience with international AI regulatory frameworks (EU AI Act, US AI Bill of Rights)
  • Strong background in policy development and stakeholder engagement
  • Technical proficiency in AI model auditing tools and methodologies
  • Certification in AI ethics or responsible AI (e.g., IBM AI Ethics, Google Responsible AI)

Required Skills

AI Ethics Regulatory Compliance Machine Learning Auditing Policy Development Fairness Algorithms Stakeholder Engagement AI Governance Bias Mitigation

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