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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Governance Lead

FutureGuard AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the ethical future of artificial intelligence at FutureGuard AI. As our AI Ethicist & Governance Lead, you'll design robust frameworks ensuring AI systems align with human values and regulatory standards. Join a pioneering team developing responsible AI solutions for Fortune 500 clients across healthcare, finance, and autonomous systems. Lead cross-functional initiatives to audit algorithmic fairness, bias mitigation, and transparency protocols while influencing industry-wide ethical standards. This role offers unparalleled impact at the intersection of technology and human-centered design.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for enterprise clients
  • Conduct algorithmic audits and bias assessments across machine learning pipelines
  • Collaborate with engineering teams to embed ethical safeguards in AI development lifecycle
  • Create transparency documentation and explainability protocols for high-stakes AI systems
  • Advocate for ethical AI standards through industry panels and regulatory submissions
  • Mentor junior researchers on responsible AI methodologies and best practices
  • Lead crisis response protocols for AI ethics incidents and compliance breaches

Qualifications

  • PhD or Master's in Computer Science, Ethics, Philosophy, or related field with 5+ years AI governance experience
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001)
  • Proven track record of implementing bias mitigation and fairness metrics in production AI systems
  • Strong background in machine learning model auditing and explainability techniques (SHAP, LIME)
  • Experience with cross-functional collaboration between engineering, legal, and ethics teams
  • Published research in AI ethics or responsible technology at top-tier venues
  • Deep understanding of socio-technical implications of AI deployment in regulated industries

Required Skills

AI Ethics Algorithmic Auditing Bias Mitigation Regulatory Compliance Explainable AI Machine Learning Governance NIST AI RMF EU AI Act Stakeholder Communication

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