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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

2026 Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join 2026 Innovations at the forefront of responsible AI development. As an AI Ethics Strategist, you'll architect frameworks that balance technological innovation with human-centric values. This pivotal role shapes how our AI systems serve society ethically while driving competitive advantage. You'll collaborate with cross-functional teams to embed ethical principles into product lifecycles, ensuring compliance with evolving global regulations while maintaining our reputation for integrity. If you're passionate about shaping the future of technology with conscience, this is your opportunity to make a lasting impact.

Responsibilities

  • Develop and implement AI ethics governance frameworks aligned with IEEE 7000 and EU AI Act standards
  • Conduct bias audits and impact assessments for machine learning models across all product lines
  • Lead stakeholder workshops to define ethical boundaries for autonomous systems and generative AI
  • Establish continuous monitoring protocols for ethical compliance in production environments
  • Advocate for ethical AI principles in C-suite strategy sessions and public forums
  • Mentor data scientists on responsible AI development practices through hands-on training

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field (PhD preferred)
  • 5+ years in AI governance, compliance, or responsible tech leadership roles
  • Expertise in bias mitigation techniques and fairness metrics (e.g., AIF360, Fairlearn)
  • Proven experience drafting AI ethics policies adopted by Fortune 500 organizations
  • Deep understanding of global AI regulations (EU AI Act, NIST RMF, etc.)
  • Exceptional communication skills for translating technical ethics to non-technical audiences
  • Published research or thought leadership in AI ethics journals/conferences

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Ethical Framework Design Stakeholder Engagement NIST RMF EU AI Act Fairness Metrics

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