Job Description
We are Nexus Horizon AI, a pioneering research lab dedicated to defining the technological landscape of 2026 and beyond. We are not just building software; we are architecting the future of human-machine symbiosis.
As the Director of Future Tech & AI Strategy, you will serve as the bridge between today's innovation and tomorrow's reality. You will be responsible for identifying, evaluating, and deploying breakthrough technologies that will drive our competitive advantage in the coming decade. This is a high-stakes, visionary role for an executive who wants to leave a permanent mark on the evolution of Artificial Intelligence.
Why Join Us?
- Impact: Directly influence the strategic direction of technologies that will define the next era of industry.
- Autonomy: We offer a high degree of freedom to explore high-risk, high-reward research areas.
- Environment: Work in a state-of-the-art facility in the heart of the tech capital.
Responsibilities
- Define the 2026 Technology Roadmap: Lead the strategic vision for emerging technologies, specifically focusing on Generative AI, Quantum Computing interfaces, and Neuromorphic engineering.
- Lead High-Impact R&D Initiatives: Oversee the research and development of proprietary algorithms that will power our next-generation autonomous systems.
- Patent Strategy & Intellectual Property: Identify commercially viable innovations and lead the patenting process to secure Nexus Horizon AI's position as a market leader.
- Executive Stakeholder Management: Communicate complex technical visions to the C-Suite and Board, translating future capabilities into tangible business value.
- Talent Acquisition & Mentorship: Recruit top-tier 'futurists' and engineers, fostering a culture of innovation and continuous learning.
- Competitive Analysis: Monitor global tech trends and geopolitical shifts to mitigate risks and capitalize on emerging opportunities.
Qualifications
- Strategic Vision: Proven track record of 10+ years in Technology Strategy, AI Research, or Executive Consulting, with a specific focus on long-term forecasting.
- Technical Expertise: Deep understanding of Machine Learning architectures, Natural Language Processing, and emerging compute paradigms (e.g., Neuromorphic chips).
- Leadership Experience: Demonstrated ability to lead cross-functional teams and manage large-scale budgets in a fast-paced environment.
- Communication Skills: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and investors.
- Education: Master’s or PhD in Computer Science, Robotics, or a related technical field (PhD preferred).
- Problem Solving: A 'builder' mindset with a history of turning abstract concepts into executable prototypes.