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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Governance Lead

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

Job Description

Join Nexus AI Solutions at the forefront of responsible AI innovation. We're seeking a visionary AI Ethicist & Governance Lead to shape ethical frameworks for our 2026 product roadmap. As AI becomes increasingly embedded in daily life, you'll be the guardian of our moral compass, ensuring our technologies align with human values while driving breakthrough innovation.

This role combines deep technical expertise with philosophical rigor. You'll collaborate with quantum computing researchers, neuromorphic engineers, and generative AI specialists to preemptively identify ethical dilemmas before they emerge. Your work will directly influence how 500M+ users interact with AI systems that don't just process information, but understand context and nuance.

We offer unlimited PTO, equity grants, and a state-of-the-art ethics lab overlooking the Bay. If you're passionate about building AI that elevates humanity rather than replacing it, your future awaits at Nexus.

Responsibilities

  • Design and implement proactive ethical governance frameworks for autonomous systems
  • Lead cross-functional audits of AI models for bias, fairness, and transparency
  • Develop industry-leading 'AI Impact Assessments' for new product launches
  • Partner with legal teams to navigate evolving AI legislation and compliance
  • Create educational programs for internal teams on responsible AI development
  • Represent Nexus at global AI ethics summits and policy discussions

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (MS with exceptional experience)
  • 5+ years in AI governance, compliance, or ethical technology roles
  • Deep understanding of EU AI Act, NIST AI RMF, and emerging regulations
  • Experience with bias detection tools and explainable AI methodologies
  • Published work on AI ethics or demonstrated thought leadership
  • Ability to translate complex ethical concepts into actionable engineering requirements

Required Skills

AI Ethics Governance Compliance Bias Mitigation Explainable AI Regulatory Affairs Philosophy Machine Learning Auditing Risk Assessment

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