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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of responsible AI at Nexus Innovations, where technology meets humanity. We're seeking a visionary AI Ethics Strategist to architect ethical frameworks for next-generation autonomous systems. Join our cross-disciplinary team in pioneering solutions that balance innovation with societal impact, ensuring our 2026 roadmap prioritizes human dignity, fairness, and transparency in AI deployment.

This role offers unparalleled influence in defining industry standards while working with cutting-edge research from our Silicon Valley headquarters. You'll collaborate directly with C-suite executives, AI researchers, and policymakers to embed ethical safeguards into products that will shape the next decade.

Responsibilities

  • Develop comprehensive AI ethics governance frameworks for autonomous systems and predictive analytics
  • Conduct bias audits and impact assessments for machine learning models
  • Lead stakeholder workshops to align technical teams on ethical deployment strategies
  • Author policy whitepapers on AI regulation and responsible innovation for 2026+ initiatives
  • Partner with legal teams to ensure compliance with emerging AI governance standards
  • Mentor junior data scientists on ethical AI development practices

Qualifications

  • Advanced degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years of experience in AI governance or tech ethics roles
  • Deep expertise in fairness, accountability, and transparency (FAT) AI principles
  • Proven track record of developing enterprise-scale AI ethics frameworks
  • Strong understanding of regulatory landscapes (EU AI Act, NIST AI RMF)
  • Exceptional communication skills for technical and non-technical audiences
  • Experience with bias detection tools (Aequitas, IBM AI Fairness 360)

Required Skills

AI Ethics Machine Learning Governance Bias Mitigation Regulatory Compliance Stakeholder Engagement Policy Development Algorithmic Transparency Responsible AI

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