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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape responsible AI frameworks for 2026 and beyond. We're seeking a visionary AI Ethics & Governance Lead to design, implement, and audit ethical AI systems that align with global regulatory standards and societal values. This role bridges cutting-edge technology with human-centric principles, ensuring our AI innovations advance humanity while mitigating risks. You'll collaborate with cross-functional teams to embed ethical considerations into product lifecycles and pioneer industry best practices.

Responsibilities

  • Develop comprehensive AI ethics frameworks and governance policies for autonomous systems
  • Conduct algorithmic bias audits and risk assessments for AI deployment models
  • Lead stakeholder engagement with regulators, policymakers, and community groups
  • Design transparent AI explainability protocols for high-stakes decision systems
  • Create ethical AI training programs for engineering and product teams
  • Monitor emerging AI regulations (EU AI Act, US AI Bill of Rights) and adapt compliance strategies
  • Author annual AI ethics impact reports and public transparency documents

Qualifications

  • Advanced degree in Computer Science, Ethics, Law, or related field (PhD preferred)
  • 5+ years experience in AI governance, compliance, or ethical technology roles
  • Expertise in bias mitigation techniques and fairness metrics for ML models
  • Deep understanding of global AI regulatory landscapes (GDPR, EU AI Act, etc.)
  • Proven ability to translate technical concepts for non-technical stakeholders
  • Published research or thought leadership in AI ethics or responsible AI
  • Experience with AI governance frameworks (NIST AI RMF, IEEE Ethically Aligned Design)

Required Skills

AI Ethics Governance Machine Learning Regulatory Compliance Bias Mitigation Explainable AI Policy Development Stakeholder Engagement

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