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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of shaping responsible AI development for 2026 and beyond. We're seeking an AI Ethics & Governance Lead to architect ethical frameworks for next-generation autonomous systems. This pivotal role bridges cutting-edge technology with human-centric values, ensuring our AI innovations align with global ethical standards while driving commercial innovation.

You'll collaborate with quantum computing researchers, neuro-symbolic AI architects, and cross-functional teams to embed ethical guardrails into AI lifecycle processes. This is your opportunity to define the future of trustworthy AI while working with Fortune 500 partners transforming healthcare, climate modeling, and personalized education.

Responsibilities

  • Design and implement AI governance frameworks compliant with evolving global regulations (EU AI Act, NIST AI RMF)
  • Lead cross-functional ethics audits for generative AI models and autonomous systems
  • Develop bias mitigation protocols for federated learning environments
  • Create stakeholder education programs on responsible AI deployment
  • Chair quarterly ethics review boards with C-suite executives and external experts
  • Establish KPIs for ethical AI performance and transparency metrics
  • Advocate for inclusive design in AI development pipelines

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record designing ethical frameworks for large-scale AI deployments
  • Expertise in regulatory landscapes for AI (EU AI Act, US AI Bill of Rights)
  • Strong background in bias detection and fairness metrics for machine learning
  • Experience with stakeholder engagement across technical and non-technical audiences
  • Certification in AI Ethics (e.g., IBM AI Ethics, Google Responsible AI)
  • Published research on algorithmic accountability or explainable AI

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Bias Mitigation Stakeholder Engagement Explainable AI Algorithmic Accountability Risk Management

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