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AI Ethics & Governance Lead

InnovateFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join InnovateFuture Labs as we redefine ethical AI for 2026. We're seeking a visionary leader to shape our AI governance framework and ensure responsible innovation at scale. This role sits at the intersection of cutting-edge technology and human-centric design, where your expertise will directly influence how AI impacts society.

As part of our Future Tech Council, you'll collaborate with Nobel laureates, policy advisors, and industry pioneers to build the ethical foundations for tomorrow's AI systems. Our San Francisco hub offers unparalleled resources to pioneer solutions that balance technological advancement with human dignity.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory standards
  • Lead cross-functional audits of AI systems for bias, transparency, and accountability
  • Design governance protocols for autonomous decision-making systems in critical infrastructure
  • Partner with policy makers to shape emerging AI legislation and industry standards
  • Create educational initiatives to embed ethical AI practices across engineering teams
  • Oversee third-party AI vendor compliance through rigorous assessment frameworks

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 7+ years applied experience
  • Proven track record in developing AI governance frameworks for Fortune 500 companies
  • Expertise in regulatory landscapes (EU AI Act, NIST AI RMF, upcoming 2026 global standards)
  • Published research on algorithmic bias mitigation or explainable AI techniques
  • Deep understanding of existential risk assessment for advanced AI systems
  • Certification in AI ethics (e.g., IEEE, ACM) or equivalent professional credentials

Required Skills

AI Ethics Governance Regulatory Compliance Risk Assessment Explainable AI Bias Mitigation Policy Development Machine Learning Auditing

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