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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Ethics Strategist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of responsible innovation as we prepare for the technological landscape of 2026. We seek a visionary AI Ethics Strategist to architect ethical frameworks for next-generation autonomous systems. This role bridges cutting-edge AI development with societal impact, ensuring our innovations align with human values while maintaining competitive advantage in the rapidly evolving tech ecosystem. Collaborate with cross-disciplinary teams to pioneer ethical protocols that will shape the future of artificial intelligence.

Responsibilities

  • Develop comprehensive ethical governance frameworks for AI systems deployed in 2026
  • Conduct impact assessments for autonomous decision-making algorithms
  • Partner with product teams to embed ethical considerations in development lifecycles
  • Lead stakeholder dialogues on AI ethics with regulators, academics, and industry partners
  • Design transparency mechanisms for AI explainability and accountability
  • Establish continuous monitoring systems for ethical compliance in production AI
  • Create thought leadership content on emerging ethical challenges in AI

Qualifications

  • PhD in Ethics, Philosophy, Computer Science, or related field with 5+ years of AI ethics experience
  • Deep expertise in regulatory landscapes (EU AI Act, NIST AI RMF)
  • Proven track record of implementing ethical AI frameworks in production environments
  • Strong technical background with understanding of machine learning architectures
  • Exceptional communication skills for complex ethical discussions
  • Published research in AI ethics or responsible innovation
  • Experience with cross-cultural ethical frameworks and global deployment challenges
  • Ability to translate abstract ethical principles into technical requirements

Required Skills

AI Ethics Machine Learning Governance Frameworks Regulatory Compliance Explainable AI Stakeholder Engagement Risk Assessment Philosophy of Technology

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