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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist (2026 Visionary)

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

Job Description

Join Nexus Innovations at the forefront of ethical AI development as we shape the digital landscape of 2026. We seek a visionary AI Ethics Strategist to architect responsible AI frameworks that balance innovation with human values. This pivotal role requires deep technical expertise and philosophical acumen to guide our next-generation autonomous systems, ensuring alignment with societal norms and regulatory futures.

Our team pioneers breakthroughs in quantum computing and neural networks, making this an unparalleled opportunity to influence how humanity interacts with artificial intelligence in the coming decade. You'll collaborate with Nobel laureates and industry disruptors while enjoying San Francisco's vibrant tech ecosystem.

Responsibilities

  • Design and implement ethical governance frameworks for autonomous AI systems
  • Conduct preemptive risk assessments for emerging AI technologies (2026-2030 roadmap)
  • Develop cross-functional ethical protocols for quantum-AI hybrid systems
  • Lead stakeholder dialogues on AI's societal impact with policymakers and industry leaders
  • Author thought leadership papers on AI ethics in post-human collaboration
  • Establish audit protocols for neural network bias and transparency
  • Mentor junior researchers in ethical AI development methodologies

Qualifications

  • PhD in Philosophy, Computer Science, or Ethics with 5+ years in AI governance
  • Expertise in regulatory frameworks (EU AI Act, NIST AI RMF, future 2026 standards)
  • Published work on algorithmic bias mitigation or value alignment
  • Experience with quantum computing ethical implications
  • Proficiency in Python and ethical AI toolkits (e.g., IBM AI Fairness 360)
  • Strong background in stakeholder engagement and policy influence
  • Understanding of neuro-symbolic AI architectures and ethical implications

Required Skills

AI Ethics Quantum Computing Governance Algorithmic Bias Neural Networks Policy Influence Risk Assessment Stakeholder Engagement

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