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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead 2026

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. As our AI Ethics & Governance Lead for 2026, you'll architect frameworks that ensure artificial intelligence advances humanity while mitigating existential risks. This pivotal role bridges cutting-edge technology with ethical stewardship, shaping how organizations navigate the AI revolution.

Our Austin-based hub offers unparalleled access to tech visionaries, regulatory pioneers, and a thriving ecosystem of innovators. You'll lead cross-functional teams to develop governance protocols that balance innovation with accountability, directly influencing global AI standards.

Responsibilities

  • Design and implement AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional task forces to audit AI systems for bias, transparency, and safety
  • Develop governance protocols for autonomous systems and generative AI deployments
  • Collaborate with policymakers on shaping national AI ethics legislation
  • Establish certification processes for responsible AI development lifecycle
  • Train leadership teams on ethical AI adoption and risk mitigation
  • Publish thought leadership on emerging AI governance challenges

Qualifications

  • PhD in Ethics, Computer Science, or related field with 8+ years AI governance experience
  • Proven track record developing enterprise-level AI ethics frameworks
  • Expertise in regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Published research on algorithmic bias mitigation or AI safety
  • Experience advising Fortune 500 companies on AI ethics
  • Proficiency in ML fairness tools (IBM AI Fairness 360, Google What-If Tool)
  • Deep understanding of existential risk assessment methodologies

Required Skills

AI Ethics Governance Regulatory Compliance Machine Learning Risk Assessment Policy Development Ethical AI Bias Mitigation

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