Job Description
The Future is Now. Nexus Horizon Innovations is a leading think-tank and development firm dedicated to defining the technological landscape of 2026 and beyond. We are looking for a visionary Director of AI Strategy & Future Technologies to lead our research and development initiatives into the next era of artificial intelligence.
In this pivotal role, you won't just be implementing current trends; you will be architecting the solutions that will define the year 2026. You will bridge the gap between theoretical research and practical application, ensuring our technologies are ethical, scalable, and revolutionary. Join us in shaping the trajectory of human-machine interaction.
Why Join Us?
We offer a competitive package, remote-first flexibility, and the opportunity to work on projects that will impact the global market for the next decade.
Responsibilities
- Architect the 2026 Roadmap: Lead the strategic vision for AI development, identifying key trends and technologies that will emerge by 2026.
- Research & Development Oversight: Guide a team of elite engineers and data scientists in developing next-gen neural architectures and generative models.
- Ethical AI Governance: Establish and enforce strict ethical guidelines and compliance standards for autonomous systems and algorithmic decision-making.
- Executive Leadership: Present complex technical strategies to the Board of Directors and C-Suite stakeholders to secure funding and resource allocation.
- Partnership Management: Cultivate strategic alliances with academic institutions, tech giants, and regulatory bodies to foster innovation.
- Product Innovation: Translate abstract future concepts into tangible product features that solve complex global challenges.
Qualifications
- Strategic Vision: 10+ years of experience in Artificial Intelligence, Machine Learning, or Robotics, with at least 5 years in a senior executive or strategic leadership role.
- Technical Proficiency: Deep understanding of Deep Learning, NLP, Computer Vision, and the specific challenges of scaling AI models in 2026.
- Academic Background: Advanced degree (PhD or Master’s) in Computer Science, Engineering, or a related technical field.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and the public.
- Leadership: Proven track record of building, mentoring, and retaining high-performing technical teams.
- Innovation Mindset: A forward-thinking approach with a demonstrated history of patenting technologies or disrupting markets.