Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary AI Futurist to architect tomorrow's intelligent systems while ensuring ethical implementation and human-centric design. This role blends deep technical expertise with strategic foresight to shape our product roadmap and guide organizational transformation.
Our ideal candidate thrives at the intersection of bleeding-edge AI research and practical business application. You'll collaborate with cross-functional teams to prototype next-gen solutions, forecast industry shifts, and develop frameworks for responsible AI deployment. The position offers unparalleled influence in defining how humanity interacts with autonomous systems in the coming decade.
Responsibilities
- Lead horizon scanning initiatives to identify emerging AI trends and disruptive technologies impacting 2026+ landscapes
- Architect ethical AI frameworks and governance policies for autonomous systems and decision engines
- Develop strategic roadmaps for quantum-AI hybrid computing infrastructure and edge intelligence deployment
- Facilitate cross-industry workshops to co-create responsible innovation standards for neural interfaces
- Drive R&D initiatives in generative AI, neuromorphic computing, and predictive behavioral modeling
- Advocate for human-AI symbiosis principles in product development cycles
- Author thought leadership publications on AI's socioeconomic implications and workforce evolution
Qualifications
- PhD or equivalent in Computer Science, Cognitive Science, or Futurism with 5+ years applied AI research
- Proven expertise in transformer architectures, reinforcement learning, and quantum machine learning
- Published work on AI ethics, explainable AI, or human-computer interaction
- Experience with regulatory frameworks (EU AI Act, NIST AI RMF) and compliance automation
- Demonstrated ability to translate complex technical concepts into executive strategy
- Portfolio of deployed AI systems handling real-world autonomous decision-making
- Certification in AI governance (e.g., CAG, CIPM) or technology foresight methodologies