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Senior AI Futurist (2026)

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Horizons as we architect the technological landscape of 2026. We seek a visionary Senior AI Futurist to lead our next-generation AI initiatives, transforming how humanity interacts with intelligent systems. This role demands a blend of deep technical expertise and strategic foresight to shape our 2026 roadmap in autonomous AI, quantum-ML integration, and ethical AI frameworks.

At Nexus Horizons, you'll collaborate with Nobel laureates, NASA quantum researchers, and global policy think tanks to build AI systems that redefine industry standards. Our state-of-the-art Quantum Neural Lab offers unparalleled resources for prototyping solutions that will power the next decade of innovation.

Responsibilities

  • Architect and deploy autonomous AI systems with 2026-compliant ethical governance frameworks
  • Lead cross-functional teams in developing quantum-ML hybrid models for real-world applications
  • Drive research in generative AI for personalized human-AI symbiosis interfaces
  • Partner with UN AI Ethics Board to establish global standards for 2026 AI deployment
  • Mentor junior researchers in emerging AI paradigms (neuromorphic computing, swarm intelligence)
  • Develop predictive models for AI societal impact scenarios through 2030

Qualifications

  • PhD in AI/ML or equivalent with 10+ years in cutting-edge AI research
  • Published work in Nature/Science on AI ethics or quantum machine learning
  • Expertise in deploying LLMs at petabyte-scale with zero-trust architectures
  • Experience with quantum computing frameworks (Qiskit, Cirq) and neuromorphic hardware
  • Proven track record of building AI systems with certified ethical compliance
  • Deep understanding of 2026 AI regulatory landscapes (EU AI Act 2.0, US AI Bill of Rights)

Required Skills

Quantum Machine Learning Autonomous AI Systems AI Ethics LLM Deployment Quantum Computing Neuromorphic Engineering Predictive Modeling AI Governance

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