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AI Ethics Research Director

Nexus Solutions Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Shape the future of artificial intelligence at Nexus Solutions Inc. We're seeking a visionary AI Ethics Research Director to lead our groundbreaking initiatives in responsible AI development. Join our elite team in Austin, TX, where innovation meets integrity. This senior role offers unparalleled opportunities to define ethical frameworks for next-generation AI systems while mentoring the next wave of tech leaders.

As a pioneer in the field, you'll collaborate with Fortune 500 partners and academic institutions to develop industry standards that balance technological advancement with human values. Our Austin campus features state-of-the-art research labs and flexible workspaces designed to inspire breakthrough thinking.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks for autonomous systems and predictive analytics
  • Lead cross-functional research teams in bias mitigation and algorithmic fairness initiatives
  • Develop stakeholder engagement strategies for corporate governance boards and regulatory bodies
  • Author white papers and policy recommendations for international AI ethics summits
  • Establish KPIs for ethical AI deployment across enterprise-scale applications
  • Mentor PhD researchers and industry fellows in responsible AI methodologies
  • Interface with policymakers to shape emerging AI legislation and compliance standards

Qualifications

  • PhD in Computer Science, Philosophy, Cognitive Science, or related field with 10+ years experience
  • Published research in AI ethics, algorithmic fairness, or machine learning governance
  • Proven track record leading cross-organizational ethics initiatives in Fortune 500 environments
  • Expertise in regulatory frameworks (EU AI Act, NIST AI Risk Management Framework)
  • Strong background in applied philosophy of technology and moral reasoning systems
  • Experience with adversarial testing methodologies for bias detection
  • Exceptional communication skills for translating complex concepts to non-technical audiences

Required Skills

AI Ethics Machine Learning Governance Algorithmic Fairness Philosophy of Technology Regulatory Compliance Cross-functional Leadership Policy Development Bias Mitigation

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