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2026 AI Ethics Compliance Officer

EthicaTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future of responsible AI as EthicaTech's 2026 AI Ethics Compliance Officer. We're pioneering the next generation of ethical AI frameworks, and we need visionary leaders to ensure our systems align with human values. Join our multidisciplinary team to develop cutting-edge compliance protocols for autonomous systems, predictive analytics, and generative AI technologies.

This role combines technical expertise with philosophical rigor to create governance frameworks that balance innovation with accountability. You'll collaborate with quantum computing teams, neuro-symbolic AI researchers, and global policy experts to establish industry standards for 2026's AI landscape.

Responsibilities

  • Design and implement AI ethics audit frameworks for autonomous decision systems
  • Lead cross-functional reviews of generative AI models for bias mitigation
  • Develop compliance protocols for neuromorphic computing applications
  • Establish governance standards for quantum-AI hybrid systems
  • Train engineering teams on ethical AI development lifecycle
  • Conduct adversarial testing of AI systems for ethical vulnerabilities
  • Partner with policymakers to shape 2026 AI regulatory landscape

Qualifications

  • PhD in Ethics, Computer Science, or Jurisprudence with AI specialization
  • 5+ years in AI governance or compliance at Fortune 500 tech firms
  • Expertise in ISO/IEC 42001 and IEEE 7000 standards
  • Deep understanding of EU AI Act, NIST AI RMF, and global AI regulations
  • Experience with federated learning and differential privacy techniques
  • Published research in algorithmic fairness or explainable AI
  • Fluency in at least one symbolic AI programming language (e.g., Prolog)

Required Skills

AI Ethics Compliance Auditing Algorithmic Fairness Regulatory Policy Explainable AI ISO/IEC 42001 NIST AI RMF Quantum Computing Ethics Generative AI Governance

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