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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

EthicaTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join EthicaTech Solutions at the forefront of responsible AI innovation. As our AI Ethics & Governance Lead, you'll shape the future of ethical technology deployment in 2026 and beyond. We're seeking a visionary leader to develop robust frameworks ensuring AI systems align with human values, regulatory compliance, and societal impact.

This role offers unparalleled influence in designing next-generation AI governance policies while collaborating with cross-functional teams to implement ethical-by-design principles. If you're passionate about mitigating algorithmic bias and ensuring technological equity, this is your opportunity to define industry standards.

Responsibilities

  • Design and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional working groups on algorithmic bias mitigation and fairness metrics
  • Develop corporate governance policies for responsible AI deployment in high-stakes domains
  • Conduct regular audits of AI systems for ethical compliance and societal impact
  • Advocate for ethical AI standards in industry forums and regulatory discussions
  • Mentor teams on ethical AI development practices and human-centered design principles
  • Stay ahead of emerging AI ethics challenges through continuous research and stakeholder engagement

Qualifications

  • Advanced degree in Computer Science, Ethics, Philosophy, Law, or related field
  • 5+ years experience in AI governance, ethics, or responsible technology roles
  • Deep expertise in regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
  • Proven track record of developing organizational ethics policies and procedures
  • Strong understanding of technical AI systems and their societal implications
  • Exceptional communication skills for translating complex ethics concepts to diverse stakeholders
  • Experience with bias detection tools and fairness assessment methodologies
  • Demonstrated thought leadership through publications or conference presentations

Required Skills

AI Ethics Governance Regulatory Compliance Algorithmic Bias NIST AI RMF EU AI Act Policy Development Stakeholder Engagement Risk Assessment Machine Learning

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