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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development. As we pioneer breakthroughs in autonomous systems and machine learning, we seek a visionary AI Ethics Officer to shape responsible innovation. You'll lead our framework for ethical AI deployment, ensuring compliance with evolving global standards while balancing technological advancement with societal impact. This pivotal role collaborates with C-suite executives, engineering teams, and regulatory bodies to embed ethical principles into our product lifecycle. If you're passionate about guiding AI toward equitable, transparent, and human-centric outcomes, help us build the future responsibly.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks aligned with IEEE 7000 and EU AI Act standards
  • Conduct algorithmic bias audits and impact assessments for high-stakes AI systems
  • Lead cross-functional ethics committees and stakeholder engagement initiatives
  • Establish real-time monitoring protocols for AI system fairness and transparency
  • Advise product teams on ethical design principles throughout the development lifecycle
  • Represent the organization in global AI ethics forums and regulatory dialogues
  • Drive continuous improvement of ethical AI practices through research and benchmarking

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years in AI governance
  • Proven experience developing ethical AI frameworks for regulated industries (healthcare/finance preferred)
  • Deep expertise in bias detection methodologies and fairness metrics (e.g., disparate impact analysis)
  • Certification in AI ethics (e.g., IEEE Ethics Certification, EU AI Act compliance specialist)
  • Exceptional ability to translate technical concepts into actionable policy for diverse stakeholders
  • Published research on algorithmic accountability or responsible AI deployment
  • Experience with regulatory bodies (FTC, NIST, EU Commission) in AI governance contexts

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Regulatory Compliance Stakeholder Communication Ethical Framework Development Bias Mitigation Policy Analysis

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