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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
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of ethical AI development. As an AI Ethics & Governance Lead, you'll shape responsible AI frameworks for 2026's most transformative technologies. We're seeking a visionary leader to ensure our AI innovations align with societal values while driving competitive advantage. This role offers unparalleled impact in defining how humanity interacts with autonomous systems.

Why Nexus Dynamics? We're building the next generation of ethical AI platforms used by Fortune 500 companies. Our team includes pioneers from Stanford's AI Ethics Lab and former regulators, creating a unique blend of technical expertise and policy insight.

Responsibilities

  • Develop comprehensive AI governance frameworks aligned with evolving regulatory landscapes
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Collaborate with product teams to embed ethical AI design principles into development lifecycles
  • Establish industry-wide benchmarks for responsible AI deployment
  • Represent the company at global AI ethics summits and regulatory discussions
  • Mentor junior engineers on ethical AI implementation best practices

Qualifications

  • PhD or Master's in Computer Science, Ethics, Policy, or related field
  • 5+ years in AI governance, compliance, or ethics leadership roles
  • Deep expertise in EU AI Act, NIST AI RMF, and emerging regulatory frameworks
  • Proven track record of implementing bias mitigation techniques in production AI systems
  • Exceptional communication skills for translating complex ethics concepts to diverse stakeholders
  • Published research in AI ethics or related journals preferred
  • Certification in AI governance (e.g., CEGAI) strongly preferred

Required Skills

AI Ethics Regulatory Compliance Governance Frameworks Bias Mitigation Policy Development Risk Assessment Machine Learning Ethics Stakeholder Communication

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