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AI Ethics Governance Lead

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Innovate Tomorrow Inc. at the forefront of ethical AI development as we shape responsible technology for 2026 and beyond. We're seeking a visionary AI Ethics Governance Lead to architect frameworks that balance innovation with human values in an era of rapid technological transformation. This pivotal role requires strategic foresight to navigate complex ethical dilemmas while ensuring our AI systems align with global standards and societal expectations.

As a pioneer in responsible AI, you'll collaborate with cross-functional teams to embed ethical considerations into product lifecycles, from research to deployment. Your work will directly influence how organizations approach AI governance in the next decade, making this an unparalleled opportunity to leave a lasting impact on the future of technology.

Responsibilities

  • Design and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional ethical risk assessments for AI initiatives
  • Develop audit protocols for algorithmic fairness and transparency
  • Collaborate with product teams to embed ethical considerations into development lifecycles
  • Establish stakeholder engagement strategies for diverse community input
  • Proactively identify emerging ethical challenges in next-gen AI technologies
  • Drive organization-wide ethics training and awareness programs

Qualifications

  • Master's degree in Computer Science, Ethics, Policy, or related field
  • 5+ years in AI governance, ethics, or responsible technology roles
  • Deep expertise in global AI regulatory frameworks (EU AI Act, NIST, etc.)
  • Proven experience developing organizational ethics policies
  • Strong background in machine learning system design and deployment
  • Exceptional communication skills for technical and non-technical audiences
  • Certification in AI ethics or governance (e.g., IEEE, ACM)

Required Skills

AI Ethics Governance Regulatory Compliance Machine Learning Risk Assessment Stakeholder Engagement Policy Development Algorithmic Transparency

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