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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Compliance Officer

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the responsible technology landscape of 2026. As our 2026 AI Ethics Compliance Officer, you'll architect governance frameworks for next-generation AI systems while ensuring alignment with evolving global regulations. Lead cross-functional teams to embed ethical principles from design through deployment, pioneer compliance methodologies for quantum-integrated AI, and represent our commitment to transparent AI innovation. This role offers unparalleled impact in defining the future of human-AI coexistence.

Responsibilities

  • Design and implement AI ethics governance frameworks for 2026-era systems
  • Lead regulatory compliance initiatives for quantum-AI hybrid technologies
  • Conduct bias audits and ethical impact assessments for autonomous decision systems
  • Develop industry-leading transparency protocols for explainable AI
  • Collaborate with product teams to embed ethical design principles
  • Represent the company at global AI ethics summits and regulatory bodies
  • Train stakeholders on emerging ethical AI standards and compliance requirements

Qualifications

  • Master's degree in AI Ethics, Computer Science, or related field
  • 5+ years in AI compliance, governance, or responsible AI roles
  • Expertise in evolving AI regulations (EU AI Act, NIST frameworks)
  • Experience with quantum computing ethics and hybrid system governance
  • Deep understanding of bias mitigation techniques in large language models
  • Certification in AI ethics or responsible AI (e.g., IEEE, ACM)
  • Proven ability to translate complex ethical concepts into actionable policies
  • Experience presenting to C-suite and regulatory bodies

Required Skills

AI Ethics Regulatory Compliance Governance Quantum Computing Bias Mitigation Explainable AI Policy Development Risk Assessment

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