Job Description
Join Nexus Innovations Group at the forefront of technological evolution as we shape 2026's digital landscape. We seek an AI Futurist Lead to architect tomorrow's intelligent systems today. This role blends strategic foresight with cutting-edge AI implementation to transform industries and redefine human-machine collaboration. You'll work in our state-of-the-art Innovation Hub alongside Nobel laureates and Turing Award winners, driving projects that will fundamentally change how businesses operate by 2026.
Our ideal candidate thrives at the intersection of technology, ethics, and human-centered design. You'll lead cross-functional teams in developing AI roadmaps that balance innovation with responsible deployment. This position offers unparalleled influence in shaping global AI policy and standards while working with Fortune 500 partners on next-generation solutions.
Responsibilities
- Develop comprehensive AI strategic roadmaps for 2026-2030 implementation horizons
- Lead cross-disciplinary teams in designing quantum-AI hybrid systems
- Architect ethical AI frameworks ensuring alignment with UN Sustainable Development Goals
- Partner with C-suite executives to integrate predictive AI into core business operations
- Drive innovation in neural-symbolic AI architectures for autonomous decision-making
- Represent company at Davos, CES, and global AI policy summits
- Mentor PhD candidates in emerging AI disciplines through our Nexus Fellowship Program
Qualifications
- PhD in AI, Computer Science, or Cognitive Science with 10+ years industry experience
- Published research in top-tier journals (Nature, Science, AI Journal) on 2026+ AI trends
- Proven track record leading AI initiatives with $50M+ budgets
- Expertise in federated learning and explainable AI (XAI) methodologies
- Deep understanding of quantum computing applications in AI development
- Fluency in AI ethics frameworks and regulatory compliance (EU AI Act, US Algorithmic Accountability Act)
- Proficiency in Python, TensorFlow, and emerging AI development frameworks