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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethicist & Future Tech Strategist

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

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking an visionary AI Ethicist & Future Tech Strategist to shape ethical frameworks for 2026 and beyond. In this pivotal role, you'll define governance protocols for autonomous systems, audit emerging technologies for bias, and guide our innovation roadmap to align with human-centric values. Collaborate with quantum computing researchers, neuroscientists, and policy experts to build a future where technology elevates humanity.

Why Nexus? We're pioneering the next wave of ethical AI in partnership with Stanford's AI Institute and the World Economic Forum. Your work will directly influence global standards for AI deployment and impact billions of users worldwide.

Responsibilities

  • Develop and implement ethical governance frameworks for autonomous systems and generative AI
  • Lead bias audits of emerging technologies including quantum neural networks
  • Design predictive impact assessments for 2026+ tech deployments
  • Collaborate with policy teams to shape AI regulation frameworks
  • Train cross-functional teams on ethical AI principles and responsible innovation
  • Research and publish whitepapers on AI ethics and future tech convergence
  • Advise C-suite on ethical implications of strategic technology investments

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years AI ethics experience
  • Expertise in bias detection/mitigation across machine learning pipelines
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks)
  • Proven ability to translate complex ethical concepts into technical specifications
  • Experience with quantum computing or neuro-symbolic AI systems
  • Published research in AI ethics or responsible innovation (NeurIPS, FAccT)
  • Certification in AI governance or responsible AI (e.g., IBM AI Ethics Certifier)
  • Strong stakeholder management with diverse technical and non-technical audiences

Required Skills

AI Ethics Quantum Computing Machine Learning Governance Frameworks Bias Detection Policy Analysis Neuro-Symbolic AI Technical Writing Stakeholder Management

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