Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI Strategist & Future Technologist to lead our R&D initiatives. In this pivotal role, you will architect the frameworks that will power our enterprise solutions in the next era of digital evolution.
We are not just building software; we are engineering the future. You will work at the intersection of artificial intelligence, predictive analytics, and human-centric design to deliver products that set the global standard for innovation.
Responsibilities
- Define the 2026 Technology Roadmap: Spearhead the strategic vision for our AI infrastructure, identifying emerging trends in GenAI, quantum computing, and autonomous systems.
- Lead High-Impact Projects: Oversee the end-to-end development of experimental prototypes that bridge the gap between theoretical research and market-ready products.
- Stakeholder Collaboration: Act as the primary technical liaison between C-level executives, engineering teams, and product managers to align innovation goals with business objectives.
- Ethical AI Governance: Establish robust frameworks for responsible AI deployment, ensuring compliance with global data privacy regulations and ethical standards.
- Talent & Vision Development: Mentor a team of elite engineers and data scientists, fostering a culture of continuous learning and forward-thinking problem-solving.
Qualifications
- Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field. PhD preferred.
- 10+ years of experience in software engineering, product strategy, or AI research. Proven track record of leading technical transformations.
- Deep expertise in Machine Learning, Large Language Models (LLMs), and Natural Language Processing (NLP).
- Exceptional strategic thinking and ability to translate complex technical concepts into actionable business strategies.
- Strong leadership skills with a demonstrated ability to manage cross-functional teams.
- Familiarity with emerging tech stacks relevant to the 2026 timeline (e.g., Edge AI, Neural Interfaces).