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2026 AI Futurist Lead

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of technological evolution! We're seeking a visionary 2026 AI Futurist Lead to architect the next generation of intelligent systems that will reshape industries by 2026. This role combines cutting-edge research with strategic implementation, requiring you to anticipate technological inflection points and guide our product roadmap toward quantum AI integration, neural-semantic fusion, and autonomous decision ecosystems.

You'll collaborate with Nobel-caliber researchers and lead a multidisciplinary team of engineers, ethicists, and domain experts. Our lab operates at the intersection of AGI development, quantum computing, and human-AI symbiosis, with backing from leading venture capital and institutional partners. This is your chance to define how humanity interfaces with superintelligence in the coming decade.

Responsibilities

  • Architect strategic AI roadmaps targeting 2026 technological inflection points
  • Lead development of quantum-optimized neural networks and next-gen LLMs
  • Design ethical frameworks for autonomous decision systems
  • Collaborate with quantum computing teams on hybrid AI architectures
  • Present future-tech insights to C-suite and government advisory boards
  • Manage cross-functional teams of AI researchers and engineers
  • Secure patents and publish breakthrough research in top-tier journals

Qualifications

  • PhD in Machine Learning, Quantum Computing, or related field
  • 10+ years in AI research with 3+ years in leadership roles
  • Published work at NeurIPS/ICML/AAAI with >500 citations
  • Expertise in quantum machine learning and neural-symbolic integration
  • Experience with ethical AI governance frameworks (EU AI Act, NIST AI RMF)
  • Track record of deploying production-level systems at scale
  • Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Neural Networks Strategic Planning AI Ethics Leadership Quantum Machine Learning Neural-Symbolic AI Autonomous Systems

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