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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead to architect ethical frameworks for next-generation autonomous systems. Shape policies that balance innovation with human values in a rapidly evolving technological landscape.

Lead our AI Ethics Council and collaborate with C-suite executives to embed ethical safeguards into product lifecycles. Your work will directly influence how 2026's AI revolution impacts billions of lives globally.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks aligned with IEEE 7000 standards
  • Lead cross-functional AI ethics audits for autonomous systems and generative AI models
  • Advise executive team on ethical implications of emerging technologies (quantum computing, neuromorphic chips)
  • Design bias-mitigation protocols for 2026-era AI deployment pipelines
  • Establish stakeholder engagement protocols for diverse community impact assessments
  • Author industry thought leadership on AI ethics and regulatory compliance
  • Mentor ethics review board members in ethical AI decision-making frameworks

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 8+ years in AI governance, compliance, or ethical technology leadership
  • Deep expertise in IEEE 7000, EU AI Act, and NIST AI Risk Management Framework
  • Published research on algorithmic bias or AI ethics (peer-reviewed journals)
  • Experience with autonomous system safety protocols and generative AI guardrails
  • Certification in AI Ethics (e.g., IBM AI Ethics, Google Responsible AI)
  • Proven track record influencing global tech policy (WTO, OECD, or similar)
  • Fluency in cross-cultural ethical frameworks and regulatory landscapes

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Algorithmic Bias Mitigation Autonomous Systems Generative AI Risk Management Policy Development

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