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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Solutions at the forefront of ethical AI development as we shape the responsible technology landscape of 2026. We're seeking a visionary AI Ethics Lead to design frameworks that ensure our autonomous systems align with human values. This role sits at the intersection of policy, technology, and sociology, requiring you to translate complex ethical principles into actionable engineering guidelines while engaging with global stakeholders.

You'll lead our cross-functional Ethics Task Force, conduct algorithmic bias audits, and pioneer certification protocols for next-gen AI. If you're passionate about preventing technological harm while accelerating innovation, this is your opportunity to define the ethical standards that will shape the coming decade.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead bias audits for autonomous systems and generative AI models
  • Collaborate with engineering teams to embed ethical safeguards in MLOps pipelines
  • Represent company in global AI ethics forums and regulatory consultations
  • Create certification protocols for ethical AI deployment in regulated industries
  • Mentor cross-functional teams on responsible AI development practices
  • Produce transparency reports for high-stakes AI decision systems

Qualifications

  • PhD or equivalent experience in Ethics, Philosophy, Computer Science, or Jurisprudence
  • 5+ years developing AI governance frameworks for Fortune 500 companies
  • Published research in algorithmic bias mitigation or AI ethics
  • Deep understanding of EU AI Act, NIST AI RMF, and upcoming 2026 regulations
  • Experience with adversarial testing of autonomous systems
  • Expertise in stakeholder engagement across technical and non-technical audiences
  • Proven ability to translate ethical principles into engineering requirements

Required Skills

AI Ethics Algorithmic Bias Regulatory Compliance MLOps Autonomous Systems Stakeholder Engagement Governance Frameworks Risk Assessment

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