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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Specialist

FutureGuard Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join FutureGuard Technologies at the forefront of ethical AI development. We're seeking a visionary AI Ethics & Governance Specialist to shape responsible AI frameworks for 2026 and beyond. This pivotal role ensures our autonomous systems align with human values while driving innovation in healthcare diagnostics, autonomous vehicles, and predictive analytics.

As a key member of our AI Ethics Council, you'll collaborate with engineers, policymakers, and ethicists to develop auditable AI governance protocols. You'll pioneer bias mitigation strategies and compliance frameworks for emerging technologies that will redefine industries.

Responsibilities

  • Design and implement AI ethics governance frameworks for autonomous systems
  • Conduct bias audits across machine learning pipelines using fairness metrics
  • Develop compliance protocols for evolving AI regulations (EU AI Act, US AI Bill of Rights)
  • Lead stakeholder workshops on ethical AI deployment with healthcare/automotive partners
  • Create transparent explainability systems for high-stakes AI decision-making
  • Establish incident response protocols for AI system failures
  • Mentor cross-functional teams on responsible AI development practices

Qualifications

  • Master's degree in Computer Science, Ethics, or related field (PhD preferred)
  • 5+ years in AI governance, ML ethics, or responsible AI development
  • Expertise in fairness metrics (AIF360, Fairlearn) and bias mitigation techniques
  • Experience with regulatory frameworks (GDPR, HIPAA, NIST AI RMF)
  • Strong background in explainable AI (XAI) methods and model interpretability
  • Published work on AI ethics or governance in peer-reviewed journals
  • Certification in AI Ethics (e.g., IEEE, ACM) or relevant compliance standards

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation Explainable AI (XAI) NIST AI RMF AIF360 Fairlearn Stakeholder Engagement

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