Job Description
Shape the future at Nexus Horizon Labs, where innovation meets tomorrow's challenges. We're seeking a visionary AI Futurist Strategist to architect the next wave of intelligent systems. Join our elite team at the intersection of quantum computing, neural networks, and human-machine symbiosis. You'll pioneer breakthroughs that redefine industries while mentoring the next generation of tech pioneers. This role offers unparalleled resources, flexible work arrangements, and equity in a pre-IPO unicorn.
Why Nexus Horizon? Our 2026 roadmap includes launching the world's first commercial quantum neural processor. You'll lead cross-disciplinary initiatives with Nobel laureates, access our $2B R&D fund, and collaborate with NASA, MIT, and DeepMind on classified projects.
Responsibilities
- Develop 5-10 year strategic roadmaps for AI integration across autonomous systems, healthcare, and climate modeling
- Lead research teams in quantum machine learning and emergent neural architectures
- Partner with Fortune 500 C-suite executives to implement AI transformation frameworks
- Author white papers and present at Davos, TED, and IEEE conferences on AI ethics and governance
- Secure $50M+ in government grants for AI safety and alignment research
- Mentor PhD fellows in our 'Future Minds' incubator program
- Architect patent portfolios for 15+ breakthrough AI methodologies annually
Qualifications
- PhD in AI, Quantum Computing, or Cognitive Science with 8+ years industry experience
- Published 20+ peer-reviewed papers in Nature/Science on neural networks or quantum systems
- Proven track record of scaling AI projects from lab to production at hyperscale companies
- Expertise in transformer architectures, reinforcement learning, and neuromorphic computing
- Security clearance (Top Secret/Sensitive Compartmented Information preferred)
- Fluency in Python, TensorFlow, and quantum programming languages (Q# or Quil)
- Deep understanding of AGI safety protocols and alignment frameworks
- Experience securing $10M+ in DARPA/NASA research grants