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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking an AI Futurist to architect breakthrough solutions for 2026 and beyond. Shape tomorrow's digital landscape by bridging cutting-edge AI research with human-centric innovation. This role offers unparalleled impact in transforming industries through predictive modeling, autonomous systems, and quantum computing integration.

Why Nexus Future Labs? We're a NASA-backed incubator developing the next generation of smart infrastructure. Our team includes Nobel laureates, former SpaceX engineers, and Turing Award recipients. Enjoy unlimited R&D budget, flexible work arrangements, and equity in projects valued at $2B+.

Responsibilities

  • Design and implement AI roadmaps for 2026+ technological paradigms
  • Lead cross-disciplinary teams in developing autonomous decision systems
  • Conduct scenario planning for quantum-AI hybrid architectures
  • Develop ethical frameworks for next-gen neural networks
  • Partner with Fortune 100 companies to deploy predictive analytics platforms
  • Author white papers on AI's societal impact and governance
  • Secure $5M+ in research grants for future-tech initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Track record of deploying AI systems at scale (10M+ users)
  • Strong background in futures studies and technological forecasting
  • Proficiency in Python, PyTorch, and distributed computing frameworks
  • Experience with ethical AI governance frameworks (EU AI Act, NIST AI RMF)

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Predictive Analytics Strategic Planning Neural Networks Ethics Reinforcement Learning Python PyTorch

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