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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Futurist & Strategic Innovator

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we redefine human-machine collaboration for 2026 and beyond. As our AI Futurist & Strategic Innovator, you'll architect intelligent systems that transform industries while prioritizing ethical frameworks. This role sits at the intersection of cutting-edge research and real-world implementation, requiring both visionary thinking and pragmatic execution.

We're seeking a pioneer who thrives in ambiguity and possesses the rare ability to translate complex AI concepts into actionable business strategies. You'll work alongside Nobel laureates and Silicon Valley disruptors in our state-of-the-art facility overlooking the Golden Gate Bridge.

Responsibilities

  • Design and deploy AI roadmaps aligning with 2026 technological inflection points
  • Lead cross-functional teams in developing generative AI solutions for enterprise clients
  • Establish ethical governance frameworks for autonomous systems and neural networks
  • Conduct horizon scanning for emerging technologies (quantum computing, biocomputing)
  • Present strategic briefings to C-suite executives and government innovation councils
  • Author white papers on AI's societal impact and future workforce implications
  • Collaborate with MIT and Stanford on next-gen human-AI symbiosis protocols

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field (or equivalent breakthrough research)
  • 10+ years developing AI/ML systems with proven 2020s-era impact
  • Published work in Nature/Science on neural network optimization or AGI safety
  • Expertise in transformer architectures, reinforcement learning, and quantum ML
  • Experience advising Fortune 100 companies on digital transformation
  • Deep understanding of EU AI Act, NIST AI RMF, and global regulatory landscapes
  • Portfolio demonstrating deployment of AI systems at 10M+ user scale
  • Fluency in Python, PyTorch, and cloud-native AI infrastructure

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Neural Networks Quantum Computing Ethics AI Generative AI Reinforcement Learning

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