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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Compliance Officer

Innovatech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Innovatech Solutions at the forefront of responsible AI development. As we prepare for the 2026 regulatory landscape, we're seeking a visionary AI Ethics Compliance Officer to shape our ethical framework. This pivotal role bridges cutting-edge AI innovation with unwavering compliance, ensuring our technologies advance humanity while protecting privacy and fairness.

In this high-impact position, you'll lead cross-functional initiatives to embed ethical considerations into our AI lifecycle, from algorithm design to deployment. You'll collaborate with engineers, policymakers, and industry leaders to establish industry-best practices that anticipate future regulations while maintaining our competitive edge.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory requirements
  • Conduct algorithmic audits and bias assessments across all AI systems
  • Partner with engineering teams to design privacy-preserving AI architectures
  • Lead stakeholder engagement with regulators, NGOs, and industry coalitions
  • Create transparent explainability protocols for high-stakes AI decisions
  • Establish continuous monitoring systems for ethical compliance
  • Drive organizational training on responsible AI development practices

Qualifications

  • Advanced degree in Computer Science, Ethics, Law, or related field
  • 5+ years in AI governance, compliance, or ethics roles
  • Expertise in emerging AI regulations (EU AI Act, NIST frameworks)
  • Strong understanding of ML model lifecycle and deployment challenges
  • Certification in AI ethics or data privacy (e.g., CIPP, CIPM)
  • Experience with cross-functional team leadership in tech environments
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Ethics Regulatory Compliance Machine Learning Data Privacy Algorithmic Auditing Explainable AI Risk Management Policy Development

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