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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & 2026 Tech Strategist

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we architect the future of AI-driven industries. We're seeking a visionary AI Futurist to lead our 2026 technology roadmap and shape how humanity interacts with emerging quantum-AI hybrids. This role requires a blend of technical expertise, strategic foresight, and the ability to translate complex innovations into market-ready solutions.

As a key architect of our next-gen ecosystem, you'll collaborate with Nobel laureates, quantum computing pioneers, and Fortune 500 partners to redefine possibilities in healthcare, climate modeling, and autonomous systems. The ideal candidate thrives at the intersection of bleeding-edge research and practical implementation.

Responsibilities

  • Architect and execute the 2026 technology strategy for AI-quantum convergence
  • Lead cross-functional R&D initiatives in neuromorphic computing and synthetic consciousness
  • Develop patent-pending frameworks for ethical AI governance in autonomous systems
  • Present disruptive tech roadmaps to C-suite executives and venture capital partners
  • Mentor PhD researchers in next-gen AI model optimization techniques
  • Identify and secure $50M+ in funding for breakthrough quantum-AI applications
  • Pioneer human-AI symbiosis protocols for enterprise adoption by 2026

Qualifications

  • PhD in Computer Science, Quantum Physics, or Cognitive Neuroscience (or equivalent experience)
  • 10+ years in AI strategy with 5+ years in quantum computing or neuromorphic systems
  • Published research in Nature/Science on AI ethics or quantum machine learning
  • Proven track record of commercializing futuristic technologies (3+ exits)
  • Expertise in federated learning, tensor networks, and quantum error correction
  • Fluency in Python, TensorFlow Quantum, and Cirq frameworks
  • Deep understanding of post-quantum cryptographic protocols

Required Skills

Quantum Computing AI Strategy Neuromorphic Systems Quantum Machine Learning Synthetic Consciousness Post-Quantum Cryptography Federated Learning Ethical AI Governance

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