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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Systems
San Francisco
Estimated Salary
USD 150.000 – USD 210.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Systems at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Specialist to shape the ethical frameworks for next-generation autonomous systems. This role bridges cutting-edge technology with human-centric values, ensuring our innovations align with societal expectations and regulatory standards by 2026.

You'll collaborate with cross-functional teams to embed ethical safeguards in AI pipelines, conduct bias audits, and develop governance protocols that balance innovation with accountability. Ideal candidates thrive at the intersection of technology philosophy, policy design, and practical implementation.

Responsibilities

  • Design and implement AI ethics frameworks aligned with evolving global standards
  • Conduct bias audits and fairness assessments across machine learning models
  • Develop governance protocols for autonomous systems and generative AI
  • Lead stakeholder workshops on responsible AI adoption strategies
  • Monitor emerging regulations (EU AI Act, NIST frameworks) and adapt compliance measures
  • Document ethical risk assessments and mitigation strategies
  • Mentor engineering teams on ethical AI development practices

Qualifications

  • Master's degree in Computer Science, Philosophy, Law, or related field with 5+ years AI ethics experience
  • Proven expertise in bias detection algorithms and fairness metrics
  • Deep knowledge of global AI regulatory landscapes (EU AI Act, NIST RMF)
  • Experience with model explainability techniques (SHAP, LIME)
  • Strong policy writing and stakeholder communication skills
  • Published work in AI ethics or technology governance preferred
  • Certification in AI governance (e.g., IEEE, EDSA) or equivalent

Required Skills

AI Ethics Governance Bias Mitigation Regulatory Compliance Model Explainability Policy Development Risk Assessment Stakeholder Engagement

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