Job Description
Join the Architects of Tomorrow.
Nexus Horizon is seeking a visionary Head of Future Tech & AI Strategy (2026) to lead our initiative into the technological landscape of the near future. In this pivotal role, you will not just predict trends; you will actively engineer the operational realities of 2026. We are looking for a leader who can translate complex futuristic concepts into scalable, high-impact business strategies, bridging the gap between current innovation and the next generation of digital evolution.
Why Join Us?
Work at the intersection of generative AI, quantum computing, and ethical technology. You will have the autonomy to build the teams, define the stack, and shape the culture that drives our success through 2026 and beyond. This is a rare opportunity to be at the forefront of the next industrial revolution.
Key Objectives:
• Architect the long-term technical roadmap focused on 2026 readiness.
• Spearhead the integration of autonomous systems and advanced AI models.
• Lead cross-functional teams in developing scalable, future-proof solutions.
• Establish ethical frameworks for emerging technologies.
• Drive innovation partnerships and acquisitions in the AI space.
Responsibilities
- Define and execute the comprehensive technology roadmap for the 2026 era, aligning technical milestones with business objectives.
- Oversee the research and deployment of cutting-edge AI technologies, including Large Language Models (LLMs) and predictive analytics.
- Build and mentor a high-performing team of futurists, data scientists, and system architects.
- Evaluate emerging tech trends (e.g., quantum readiness, edge computing) and advise the C-suite on strategic investments.
- Collaborate with product management to ensure technical feasibility and scalability of future product lines.
- Establish security and compliance standards for next-generation data architectures.
Qualifications
- 10+ years of experience in senior technology leadership, strategy, or product development.
- Proven track record of leading digital transformation initiatives and AI integration strategies.
- Deep technical expertise in machine learning, natural language processing, or software architecture.
- Exceptional strategic thinking and the ability to communicate complex technical concepts to diverse stakeholders.
- Experience managing large budgets and leading high-performing distributed teams.
- A Master’s degree in Computer Science, Engineering, or a related technical field is preferred.