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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Future Technologies at the forefront of responsible AI development. We're seeking a visionary AI Ethics Strategist to shape ethical frameworks for next-generation autonomous systems. This role bridges cutting-edge AI innovation with human-centered principles, ensuring our technologies advance society while mitigating risks. You'll collaborate with world-class engineers, policymakers, and social scientists to embed ethics into the AI lifecycle from design to deployment.

Our competitive compensation package includes equity, comprehensive benefits, and a flexible work environment in our state-of-the-art downtown San Francisco campus. Be part of a mission-driven team transforming how humanity interacts with artificial intelligence.

Responsibilities

  • Develop and implement AI ethics frameworks aligned with evolving regulatory landscapes
  • Conduct bias audits and risk assessments for autonomous systems
  • Lead cross-functional ethics committees with engineering and product teams
  • Design transparent AI explainability protocols for high-stakes applications
  • Create governance policies for generative AI deployment in regulated industries
  • Advocate ethical AI adoption through stakeholder education and industry forums
  • Monitor emerging ethical challenges in quantum-AI convergence

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, compliance, or responsible tech roles
  • Deep expertise in EU AI Act, NIST AI Risk Framework, and global AI ethics standards
  • Proven experience auditing bias in machine learning pipelines
  • Strong background in policy development for autonomous systems
  • Excellent written/verbal communication for technical and non-technical audiences
  • Experience with LLM governance and generative AI ethics challenges

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation AI Explainability Autonomous Systems Policy Development Risk Assessment

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