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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics Strategist to shape the ethical frameworks for our 2026 product roadmap. This role bridges cutting-edge AI innovation with human-centric values, ensuring our technologies advance society while mitigating risks. You'll collaborate with cross-functional teams to embed ethical considerations into the entire AI lifecycle, from conception to deployment. If you're passionate about democratizing AI responsibly and defining the standards for tomorrow's digital landscape, this is your calling.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with 2026 regulatory standards and societal expectations
  • Conduct risk assessments for AI systems, identifying bias, fairness, and transparency issues
  • Partner with product teams to integrate ethical guidelines into AI development pipelines
  • Lead stakeholder dialogues on AI ethics, including industry forums and policy discussions
  • Monitor emerging AI regulations and update organizational policies proactively
  • Create educational materials to foster ethical AI awareness across the organization

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI ethics experience
  • Deep understanding of AI/ML systems and their societal implications
  • Proven track record in developing organizational ethics frameworks
  • Expertise in bias detection and mitigation techniques for AI models
  • Experience with regulatory landscapes (EU AI Act, NIST AI RMF, etc.)
  • Exceptional communication skills for translating complex ethical concepts
  • Published work or thought leadership in AI ethics preferred

Required Skills

AI Ethics Machine Learning Risk Assessment Regulatory Compliance Stakeholder Communication Bias Mitigation AI Governance

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