Job Description
Join Nexus Horizon Labs at the forefront of 2026's technological revolution. We're seeking an AI Futurist & Innovation Lead to architect the next generation of human-machine collaboration. This pivotal role blends strategic foresight with hands-on AI implementation to transform how businesses prepare for quantum computing, neural interfaces, and decentralized AI ecosystems. You'll partner with C-suite executives to build 5-year innovation roadmaps while leading a cross-functional team of researchers and engineers.
Our ideal candidate thrives at the intersection of emerging tech and market disruption. You'll pioneer breakthrough applications for generative AI, predictive analytics, and autonomous systems while ensuring ethical frameworks keep pace with exponential growth. This is your chance to shape how industries evolve in the 2026 landscape.
Responsibilities
- Develop and execute 5-year innovation roadmaps for quantum-resistant AI infrastructure
- Lead cross-functional teams in prototyping next-gen human-AI collaboration systems
- Conduct horizon scanning for emerging technologies (neural interfaces, AGI precursors, decentralized AI)
- Translate complex technical concepts into actionable business strategies for Fortune 500 clients
- Establish governance frameworks for ethical AI deployment in regulated industries
- Drive thought leadership through whitepapers, patents, and industry conference keynotes
- Manage $5M+ R&D budget for 2026-focused innovation initiatives
Qualifications
- 10+ years in AI/ML strategy with 5+ years in futurism or innovation leadership
- Proven track record of commercializing emerging technologies (quantum, AGI, neural)
- Expertise in generative AI architectures and transformer optimization
- Certification in futures studies (e.g., CFTR, CFP) or equivalent strategic foresight training
- Deep understanding of ethical AI frameworks (EU AI Act, NIST RMF)
- Experience scaling AI teams from 10 to 100+ engineers
- Published research in top-tier AI/neuroscience journals or equivalent industry impact
- PhD in Computer Science, Cognitive Science, or related field preferred