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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Officer

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

Job Description

Join FutureTech Innovations at the forefront of responsible AI development. We're seeking an AI Ethics Officer to shape our ethical framework for 2026 and beyond. This pivotal role ensures our AI systems align with human values, regulatory compliance, and societal impact. Work with world-class engineers, policymakers, and ethicists to embed ethics into every product lifecycle.

What You'll Do: Lead cross-functional ethics audits, develop bias mitigation protocols, and create transparency reports for autonomous systems. Collaborate with legal teams on AI governance and advise executive leadership on emerging ethical challenges. Shape our corporate AI charter while representing FutureTech at global ethics summits.

Why FutureTech? We offer equity, flexible work arrangements, and $10,000 annual ethics research budget. Our San Francisco hub features on-site mindfulness studios and zero-waste cafeterias.

Responsibilities

  • Design and implement AI ethics frameworks for autonomous systems and decision-making algorithms
  • Conduct bias audits and algorithmic impact assessments across all AI products
  • Develop transparency protocols for explainable AI (XAI) deployments
  • Partner with product teams to integrate ethical reviews into development sprints
  • Create governance policies for generative AI and deepfake detection
  • Represent the company at international AI ethics conferences and regulatory bodies
  • Lead stakeholder workshops on responsible AI adoption with clients and policymakers

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field (or equivalent experience)
  • 5+ years in AI governance, compliance, or ethics leadership role
  • Expertise in EU AI Act, NIST AI Risk Management Framework, and global AI regulations
  • Published research on algorithmic bias or explainable AI (peer-reviewed journals)
  • Experience with ethics-by-design methodologies for complex systems
  • Certification in Responsible AI from recognized institutions (e.g., Stanford HAI)
  • Strong background in quantitative bias metrics and fairness evaluation tools

Required Skills

AI Ethics Algorithmic Auditing Regulatory Compliance Explainable AI Bias Mitigation Governance Frameworks Stakeholder Engagement Policy Development NIST AI RMF EU AI Act

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