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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of responsible AI innovation as we prepare for the transformative landscape of 2026. We seek an visionary AI Ethics & Governance Lead to shape the ethical framework for next-generation autonomous systems and generative AI applications. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI deployments advance society while mitigating risks. You'll architect governance frameworks that anticipate 2026's regulatory environment and societal expectations, positioning Nexus as the benchmark for ethical AI leadership.

Responsibilities

  • Develop and implement comprehensive AI ethics policies aligned with 2026 regulatory projections
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Design governance frameworks for generative AI and autonomous decision-making systems
  • Establish stakeholder engagement protocols for ethical AI deployment
  • Create predictive risk models for emerging AI societal impacts
  • Drive industry standards for responsible AI through consortium participation
  • Mentor teams on ethical AI principles and implementation

Qualifications

  • Advanced degree in Ethics, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record in developing enterprise-level AI ethics frameworks
  • Expertise in regulatory landscapes (EU AI Act, NIST AI RMF, etc.)
  • Strong background in bias mitigation and algorithmic fairness
  • Experience with generative AI deployment governance
  • Exceptional stakeholder communication and executive presentation skills
  • Certification in AI ethics (e.g., IEEE, ELSI) preferred
  • Published research on AI societal impact a plus

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Bias Mitigation Generative AI Risk Assessment Stakeholder Engagement Algorithmic Fairness

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