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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
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of ethical AI development as we shape the responsible future of artificial intelligence. We're seeking an AI Ethics & Governance Lead to architect our ethical framework for autonomous systems deployed in 2026 and beyond. This pivotal role bridges cutting-edge technology with human-centered values, ensuring our innovations advance society while mitigating risks. You'll collaborate with world-class researchers, engineers, and policymakers to develop auditable, transparent, and fair AI solutions that set industry standards.

Why Nexus Dynamics? We're an award-winning AI pioneer recognized by Fast Company as 'Most Innovative in Ethical Tech.' Our culture blends rigorous academic rigor with agile execution, offering unparalleled opportunities to influence global AI policy while working on projects that impact billions of lives.

Responsibilities

  • Design and implement comprehensive AI ethics governance frameworks aligned with evolving global regulations
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Develop industry-leading ethical AI standards and best practices for 2026 technology deployments
  • Collaborate with policymakers and industry coalitions on ethical AI legislation
  • Mentor data scientists and engineers on responsible AI development methodologies
  • Establish KPIs and monitoring systems for ongoing ethical compliance

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, or related field with 8+ years' experience
  • Proven track record in developing AI ethics frameworks for enterprise systems
  • Deep expertise in bias detection algorithms and fairness metrics
  • Published research in AI ethics or governance (IEEE, ACM, Nature journals)
  • Experience working with regulatory bodies (NIST, EU AI Act, OECD AI principles)
  • Strong technical background in machine learning and data science
  • Certification in AI ethics (e.g., IEEE CertAI) or equivalent

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Algorithmic Auditing Bias Mitigation Policy Development Risk Management Data Ethics

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