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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of responsible AI development. As our AI Ethics & Governance Specialist, you'll shape the ethical framework for next-generation AI systems deployed in 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centered values, ensuring our innovations align with global ethical standards while driving business growth.

We're seeking visionary thinkers who can navigate the complex intersection of AI capabilities and societal impact. You'll collaborate with cross-functional teams to embed ethical principles into AI lifecycles, from design to deployment, while establishing governance protocols for 2026's autonomous systems.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Conduct algorithmic bias audits and risk assessments for deployed AI systems
  • Design governance protocols for autonomous decision-making systems
  • Lead stakeholder workshops on responsible AI adoption strategies
  • Monitor emerging ethical guidelines and update company policies proactively
  • Train engineering teams on ethical AI development practices
  • Prepare compliance documentation for regulatory bodies

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 5+ years in AI governance, ethics, or compliance roles
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Proficiency in AI fairness assessment tools (e.g., IBM AI Fairness 360)
  • Experience with autonomous system validation methodologies
  • Strong analytical skills for complex ethical scenario analysis
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)

Required Skills

AI Ethics Algorithmic Bias Regulatory Compliance Governance Frameworks Risk Assessment Autonomous Systems NIST AI RMF Stakeholder Engagement

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