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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Lead - 2026 Vision

FutureTech Innovations
Austin
Estimated Salary
USD 185.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join our pioneering team at FutureTech Innovations to shape the ethical frontier of artificial intelligence for 2026 and beyond. We seek a visionary AI Ethics Lead to establish governance frameworks that balance innovation with human values. This role sits at the intersection of technology, policy, and social impact, requiring deep expertise in responsible AI development. You'll collaborate with C-suite executives to embed ethical safeguards into our autonomous systems while ensuring compliance with emerging global regulations.

Our Austin headquarters features cutting-edge labs and a collaborative culture dedicated to building technology that serves humanity. This position offers executive visibility and the opportunity to influence industry standards for the next generation of AI solutions.

Responsibilities

  • Develop comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Conduct algorithmic bias audits across machine learning pipelines
  • Partner with product teams to embed ethical-by-design principles
  • Lead stakeholder engagements with regulators and industry coalitions
  • Establish transparency protocols for autonomous decision systems
  • Drive organizational training on responsible AI practices
  • Monitor emerging ethical challenges in generative AI and quantum computing

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance or responsible tech leadership
  • Expertise in fairness metrics and bias mitigation techniques
  • Published work on AI ethics or policy (e.g., ACM/IEEE journals)
  • Experience with NIST AI Risk Management Framework
  • Deep knowledge of EU AI Act and state-level regulations
  • Proficiency in Python for algorithmic auditing
  • Exceptional communication skills for technical/non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Regulatory Compliance Policy Development Bias Mitigation NIST Framework EU AI Act

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