Job Description
Join Nexus Innovations at the forefront of technological evolution as we shape the future of AI-driven industries. We seek a visionary AI Futurist & 2026 Technology Strategist to architect the next generation of intelligent systems that will redefine global markets by 2026. This pivotal role combines cutting-edge AI research with strategic foresight to develop scalable solutions for autonomous systems, quantum computing integration, and sustainable tech ecosystems.
As a key architect of our 2026 roadmap, you'll collaborate with C-suite executives, R&D teams, and global partners to identify emerging tech paradigms and transform them into commercial opportunities. The ideal candidate thrives at the intersection of innovation and execution, leveraging predictive analytics to position Nexus as the industry's thought leader in the AI revolution.
Responsibilities
- Develop and execute the 2026 technology strategy for AI/ML integration across enterprise operations
- Lead cross-functional teams in prototyping next-gen autonomous systems and quantum computing applications
- Analyze emerging tech trends (AGI, neuromorphic chips, decentralized AI) and assess commercial viability
- Design ethical frameworks for AI deployment ensuring compliance with evolving global regulations
- Present strategic roadmaps to investors and board members with data-driven impact projections
- Partner with product teams to prioritize R&D initiatives aligning with 2026 market forecasts
- Author thought leadership papers on AI's societal and economic transformation
Qualifications
- 10+ years in AI/ML strategy or tech innovation leadership at Fortune 500 scale
- PhD or equivalent in Computer Science, Cognitive Engineering, or Futurology
- Proven track record in launching AI products with >$50M revenue impact
- Expertise in quantum computing architectures and neuro-symbolic AI systems
- Deep understanding of global tech policy (EU AI Act, US AI Bill of Rights)
- Published research in top-tier journals (Nature AI, IEEE AI) or patents in autonomous systems
- Fluency in predictive modeling tools (TensorFlow, PyTorch) and scenario planning methodologies