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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Lead

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 220.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary 2026 AI Ethics Lead to shape the ethical frameworks for tomorrow's intelligent systems. As a pioneer in human-centric technology, you'll guide our cross-functional teams in designing AI solutions that prioritize equity, transparency, and societal benefit. This role offers unparalleled impact in a collaborative environment where innovation meets integrity.

What We Offer:

  • Cutting-edge projects with Fortune 500 partners
  • Competitive equity package and comprehensive benefits
  • Flexible hybrid work model in Austin's vibrant tech hub
  • $10,000 annual professional development stipend

Responsibilities

  • Develop and implement ethical AI governance frameworks for 2026-era systems
  • Conduct bias audits and risk assessments for autonomous decision-making algorithms
  • Lead stakeholder workshops on responsible AI adoption with C-suite executives
  • Author industry whitepapers on emerging ethical challenges in generative AI
  • Mentor junior engineers on ethical coding practices and human-centered design
  • Collaborate with legal teams to ensure compliance with evolving AI regulations
  • Represent the company at global ethics summits and policy forums

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI ethics, governance, or responsible tech leadership
  • Expertise in bias mitigation techniques for machine learning models
  • Published research on AI ethics or policy (peer-reviewed journals)
  • Proficiency with regulatory frameworks (EU AI Act, NIST AI RMF)
  • Experience presenting complex ethical concepts to technical and non-technical audiences
  • Deep understanding of emerging AI trends through 2030

Required Skills

AI Ethics Governance Machine Learning Bias Mitigation Policy Development Stakeholder Communication Regulatory Compliance Futurism

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