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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of ethical AI development as we shape the technological landscape of 2026. We seek a visionary AI Ethics & Governance Specialist to design frameworks ensuring responsible AI deployment in high-stakes environments. This role bridges cutting-edge machine learning with profound ethical considerations, safeguarding humanity's digital future while driving innovation. Work alongside world-class researchers in our state-of-the-art San Francisco hub, where your expertise will directly influence global tech standards.

Responsibilities

  • Develop and implement comprehensive AI ethics governance frameworks for autonomous systems and generative AI
  • Conduct bias audits and risk assessments for high-impact AI deployments in healthcare, finance, and critical infrastructure
  • Collaborate with engineering teams to embed ethical safeguards into ML pipelines and model lifecycle management
  • Lead stakeholder engagements across departments to align AI practices with regulatory requirements (EU AI Act, NIST frameworks)
  • Author policy whitepapers and best practice guidelines for responsible AI adoption in 2026 tech ecosystems
  • Mentor cross-functional teams on ethical AI principles and emerging regulatory landscapes

Qualifications

  • Master's degree in Computer Science, Ethics, Philosophy, Law, or related field with 5+ years in AI governance
  • Expertise in bias mitigation techniques for large language models and computer vision systems
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF, ISO/IEC 42001)
  • Proven experience designing ethics review processes for production AI systems
  • Strong background in stakeholder management across technical, legal, and executive domains
  • Published research in AI ethics or equivalent industry thought leadership
  • Certification in AI ethics (e.g., IBM AI Ethics, Stanford HAI) preferred

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Stakeholder Management Policy Development NIST Framework EU AI Act Generative AI

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