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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join FutureVision Labs at the forefront of ethical AI development. We're seeking a visionary AI Ethics & Governance Specialist to shape responsible AI frameworks for 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centric principles, ensuring our innovations align with global ethical standards while driving competitive advantage. You'll collaborate with C-suite executives, research scientists, and policy experts to build governance systems that balance innovation with accountability.

Our ideal candidate thrives at the intersection of technology and ethics, possesses deep knowledge of emerging AI risks, and can translate complex ethical concepts into actionable business strategies. This hybrid role combines technical acumen with stakeholder diplomacy, requiring both analytical rigor and exceptional communication skills.

Responsibilities

  • Design and implement AI ethics frameworks aligned with EU AI Act, NIST standards, and emerging 2026 regulations
  • Conduct algorithmic bias audits and ethical risk assessments for generative AI systems
  • Develop cross-functional governance protocols for autonomous decision-making systems
  • Create transparency documentation for high-stakes AI applications in healthcare and finance
  • Lead stakeholder workshops on responsible AI adoption with executive teams
  • Monitor global regulatory trends and anticipate compliance requirements for 2026
  • Train technical teams on ethical AI development practices and bias mitigation

Qualifications

  • Master's degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 5+ years in AI governance, ethics compliance, or responsible tech roles
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, ISO/IEC 42001)
  • Experience with bias detection tools (IBM AI Fairness 360, Google What-If Tool)
  • Published research or practical experience in algorithmic transparency methods
  • Certification in AI Ethics (e.g., IEEE, DeepMind) or equivalent
  • Exceptional presentation skills for technical and non-technical audiences

Required Skills

AI Ethics Governance Frameworks Algorithmic Bias Regulatory Compliance Risk Assessment Stakeholder Communication Generative AI NIST Standards

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