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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead (2026 Vision)

Nexus Innovations
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of shaping ethical AI frameworks for 2026. We're seeking an AI Ethics Lead to pioneer responsible innovation in our rapidly evolving technological landscape. This role sits at the intersection of cutting-edge AI development and human-centered ethics, ensuring our solutions align with future societal needs while maintaining competitive advantage.

As a key member of our Future Technologies division, you'll collaborate with multidisciplinary teams to develop governance frameworks that anticipate 2026's ethical challenges. Our Austin hub offers dynamic startup culture with Fortune 500 resources, hybrid work flexibility, and unparalleled opportunities to shape tomorrow's digital landscape.

Responsibilities

  • Architect comprehensive AI ethics frameworks aligned with 2026 regulatory projections and societal shifts
  • Lead cross-functional audits of ML systems for bias, transparency, and accountability
  • Develop predictive ethical risk models for emerging AI applications (neurotech, autonomous systems)
  • Partner with product teams to embed ethics-by-design principles in development lifecycles
  • Represent company at global AI ethics summits and publish thought leadership
  • Mentor ethics task force across 12 international R&D centers

Qualifications

  • PhD or equivalent in Ethics, Philosophy, AI Law, or Cognitive Science (10+ years experience)
  • Proven track record in establishing enterprise-wide AI governance frameworks
  • Deep expertise in EU AI Act, NIST AI RMF, and evolving global regulations
  • Published research on algorithmic bias mitigation or explainable AI (XAI)
  • Experience leading ethics initiatives in regulated industries (healthcare/finance)
  • Technical proficiency in Python, PyTorch, and bias detection toolkits

Required Skills

AI Ethics Governance Frameworks Regulatory Compliance Machine Learning Predictive Modeling Cross-functional Leadership Future Technologies Explainable AI

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