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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Compliance Officer

Nexus Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Systems at the forefront of responsible AI development. As our AI Ethics Compliance Officer, you'll architect ethical frameworks for next-generation AI systems while ensuring alignment with evolving global regulations. This pivotal role bridges cutting-edge technology with moral responsibility, safeguarding our innovations against bias, privacy risks, and societal harm. Collaborate with cross-functional teams to embed ethical principles into the AI lifecycle, from design to deployment. Your work will directly shape how humanity interacts with autonomous systems, ensuring technology serves humanity's best interests.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with IEEE 7000 and EU AI Act standards
  • Conduct bias audits and fairness assessments on machine learning models using advanced statistical methods
  • Establish real-time monitoring systems for AI system ethical performance metrics
  • Lead cross-functional workshops on ethical AI design principles with engineering teams
  • Create compliance documentation for regulatory submissions (FDA, FTC, international bodies)
  • Advise executive leadership on emerging ethical risks in autonomous systems deployment
  • Author white papers on ethical AI practices for industry conferences and publications

Qualifications

  • Master's degree in Ethics, Computer Science, or related field with 5+ years AI governance experience
  • Expertise in bias mitigation techniques for large language models and computer vision systems
  • Deep understanding of global AI regulations (EU AI Act, US AI Bill of Rights, NIST frameworks)
  • Proven experience developing ethical AI audit protocols and compliance documentation
  • Certification in Responsible AI (e.g., IBM AI Ethics, Google Responsible AI)
  • Strong background in privacy-preserving ML techniques (differential privacy, federated learning)
  • Exceptional communication skills translating technical concepts to non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Auditing NIST AI RMF EU AI Act Risk Assessment Ethical Framework Design Privacy Engineering

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