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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

Nexus Future Systems
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join Nexus Future Systems at the forefront of ethical AI development. We're seeking an AI Ethics & Governance Specialist to shape responsible AI frameworks for 2026 and beyond. This role bridges cutting-edge technology with ethical principles, ensuring our AI solutions prioritize human values, fairness, and accountability. You'll work with multidisciplinary teams to develop governance protocols, conduct bias audits, and pioneer industry standards for transparent AI systems. Ideal candidates thrive in fast-paced environments where technology meets philosophy.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with evolving regulatory landscapes
  • Conduct bias audits and risk assessments for machine learning models
  • Develop corporate policies for responsible AI deployment across product lines
  • Collaborate with engineers to integrate ethical safeguards into AI development pipelines
  • Lead stakeholder workshops on AI ethics with executives, engineers, and external partners
  • Monitor emerging AI legislation and adapt compliance strategies proactively
  • Author thought leadership on ethical AI practices for industry publications

Qualifications

  • Master's degree in Computer Science, Philosophy, Law, or related field
  • 3+ years experience in AI ethics, compliance, or governance roles
  • Deep understanding of ML fairness metrics, bias detection techniques, and explainable AI
  • Proficiency in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Strong stakeholder management and cross-functional communication skills
  • Experience conducting algorithmic impact assessments for high-stakes AI systems
  • Published research or practical implementation of ethical AI frameworks
  • Certification in AI ethics (e.g., IEEE, Stanford) preferred

Required Skills

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

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