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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development. We're seeking an AI Ethics Lead to shape the responsible future of artificial intelligence in 2026 and beyond. You'll architect governance frameworks, audit algorithmic systems, and champion ethical design across our cutting-edge AI portfolio. This role offers unparalleled influence in defining how humanity interacts with intelligent systems.

Our ideal candidate bridges deep technical knowledge with philosophical rigor, ensuring our AI solutions advance human welfare while mitigating societal risks. You'll collaborate with C-suite executives, research scientists, and product teams to embed ethics into every AI lifecycle phase.

Responsibilities

  • Design and implement ethical AI governance frameworks aligned with emerging global standards
  • Lead algorithmic audits and bias assessments for high-impact AI systems
  • Develop stakeholder communication strategies for complex ethical dilemmas
  • Establish cross-functional ethics review boards for AI product launches
  • Author thought leadership on AI ethics and contribute to industry best practices
  • Advocate for ethical AI principles in public policy discussions
  • Mentor junior engineers on responsible AI development methodologies

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or AI/ML (PhD preferred)
  • 5+ years in AI ethics, responsible AI, or related technical governance role
  • Expertise in bias mitigation techniques and fairness metrics for ML systems
  • Deep understanding of AI regulations (EU AI Act, NIST frameworks)
  • Proven ability to translate ethical principles into technical constraints
  • Experience with stakeholder engagement across technical/non-technical domains
  • Publication record in AI ethics or adjacent fields

Required Skills

AI Ethics Algorithmic Auditing Governance Frameworks Bias Mitigation AI Regulation Stakeholder Engagement Philosophical Ethics Machine Learning

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