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AI Futurist Lead (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary AI Futurist Lead to architect the next wave of intelligent systems that will redefine industries. This role combines cutting-edge AI research with strategic foresight to build solutions that anticipate tomorrow's challenges today. You'll collaborate with Nobel laureates, pioneer quantum-ML hybrids, and shape our 2026 roadmap in our state-of-the-art San Francisco hub.

Our team operates at the intersection of neuroscience-inspired AI and climate-positive computing, developing autonomous systems that learn and adapt in real-time. This isn't just a job – it's your chance to build the foundation for humanity's next decade of progress.

Responsibilities

  • Architect 2026-ready AI frameworks using generative adversarial networks and neuro-symbolic fusion
  • Lead cross-functional teams in developing autonomous climate-positive computing solutions
  • Drive innovation in explainable AI and ethical algorithmic governance
  • Collaborate with quantum computing teams to hybridize classical and quantum ML models
  • Present visionary roadmaps to C-suite executives and industry consortiums
  • Secure $10M+ in R&D funding for 2026-adjacent projects
  • Mentor PhD researchers in next-gen AI paradigms

Qualifications

  • PhD in AI, Machine Learning, or Computational Neuroscience with 5+ years industry experience
  • Published research in Nature/Science on transformer architectures or generative models
  • Proven track record leading teams that shipped LLM-based systems with >100M users
  • Expertise in federated learning and zero-shot transfer learning
  • Deep understanding of quantum computing principles and quantum-ML hybrids
  • Experience securing federal/state AI ethics compliance certifications
  • Portfolio demonstrating 2026-relevant AI implementations (autonomous systems, AGI prototypes)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neuro-Symbolic AI Generative Models Strategic Foresight Autonomous Systems Explainable AI Federated Learning Quantum-ML Hybrids

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