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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of responsible AI development. We're seeking an AI Ethics Strategist to shape the ethical frameworks for next-generation autonomous systems and generative AI models. This role bridges cutting-edge technology with human-centered design principles, ensuring our innovations align with societal values while driving competitive advantage.

You'll collaborate with cross-functional teams to embed ethical safeguards into AI lifecycles, conduct bias audits, and develop governance protocols that anticipate 2026's regulatory landscape. This is a rare opportunity to define the future of AI ethics while working with industry pioneers in our state-of-the-art San Francisco headquarters.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous systems and generative AI
  • Lead bias audits and algorithmic fairness assessments across ML pipelines
  • Develop stakeholder engagement strategies for transparent AI deployment
  • Create regulatory compliance roadmaps anticipating 2026 global AI legislation
  • Train cross-functional teams on ethical AI implementation best practices
  • Conduct scenario planning for emerging ethical challenges in quantum computing integration

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI governance experience
  • Proven track record in implementing ethical AI frameworks at enterprise scale
  • Expertise in bias detection methodologies for large language models
  • Deep understanding of global AI regulatory landscapes (EU AI Act, NIST frameworks)
  • Strong background in participatory design methodologies with diverse stakeholder groups
  • Published research in AI ethics or responsible technology (peer-reviewed journals)

Required Skills

AI Ethics Machine Learning Governance Algorithmic Bias Auditing Regulatory Compliance Participatory Design Quantum Ethics Stakeholder Engagement NIST Frameworks

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