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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics & Governance Lead to shape ethical frameworks for our 2026 product roadmap. This pivotal role bridges cutting-edge AI innovation with societal responsibility, ensuring our autonomous systems align with human values while maintaining competitive advantage. You'll collaborate with C-suite executives, lead cross-functional ethics committees, and pioneer industry standards for transparent AI deployment.

What you'll achieve: Design auditable AI governance protocols, conduct bias impact assessments, and develop ethical training programs for 500+ engineers. Shape policy recommendations for federal AI regulations while driving internal cultural transformation around responsible technology.

Responsibilities

  • Establish and enforce enterprise-wide AI ethics standards aligned with 2026 regulatory landscapes
  • Lead bias mitigation initiatives across autonomous decision-making systems
  • Develop stakeholder engagement frameworks for public AI transparency initiatives
  • Conduct annual ethics audits of machine learning models with 99% confidence intervals
  • Partner with product teams to embed ethical-by-design principles in development lifecycles
  • Represent company at global AI ethics summits and policy discussions
  • Lead crisis response protocols for AI ethics violations

Qualifications

  • PhD in AI Ethics, Philosophy, or related field with 5+ years applied experience
  • Published research on algorithmic bias mitigation or explainable AI (XAI)
  • Experience implementing EU AI Act or NIST RMF frameworks
  • Deep understanding of 2026 quantum computing implications for AI ethics
  • Certification in AI Governance (e.g., CAG, AIGP) or equivalent
  • Proven track record scaling ethics programs across Fortune 500 organizations
  • Expertise in neural network interpretability techniques (SHAP, LIME)
  • Fluency in cross-functional ethics communication across technical/non-technical stakeholders

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Quantum Computing Ethics Algorithmic Auditing Stakeholder Engagement Explainable AI (XAI) Crisis Management

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