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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Research Director

Nexus Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Solutions at the forefront of responsible AI development. We're seeking an AI Ethics Research Director to shape the ethical frameworks for next-generation autonomous systems. Lead groundbreaking research that balances technological innovation with human values in our state-of-the-art Austin lab. Collaborate with interdisciplinary teams to develop auditable, transparent AI solutions that prioritize fairness, accountability, and societal benefit.

As a thought leader, you'll publish whitepapers, advise Fortune 500 clients on AI governance, and mentor the next generation of responsible AI practitioners. This role offers unparalleled impact in defining how humanity interacts with intelligent systems.

Responsibilities

  • Design and implement ethical AI governance frameworks for autonomous decision systems
  • Lead cross-functional research teams in bias mitigation and fairness auditing
  • Develop industry standards for transparent AI explainability and accountability
  • Advocate for ethical AI adoption through executive briefings and public speaking
  • Partner with legal and policy teams to shape AI regulatory compliance strategies
  • Manage $2M+ research budget and publish peer-reviewed papers

Qualifications

  • PhD in Computer Science, Philosophy, or related field with 10+ years AI ethics experience
  • Proven track record publishing top-tier research in AI fairness or explainability
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF)
  • Experience building enterprise AI ethics programs from the ground up
  • Strong background in machine learning model development and deployment
  • Exceptional communication skills for translating complex concepts to diverse audiences
  • Deep understanding of sociotechnical systems and human-centered design

Required Skills

AI Ethics Machine Learning Governance Explainable AI Regulatory Compliance Research Leadership Sociotechnical Systems

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