Job Description
Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Technologies is at the forefront of innovation, pioneering the next generation of sentient computing and ethical AI frameworks. We are seeking a visionary Senior AI & Future Tech Strategist to lead our R&D initiatives and bridge the gap between theoretical breakthroughs and market-ready applications.
In this pivotal role, you will not just adapt to the future; you will architect it. You will work in a dynamic environment that demands curiosity, foresight, and a deep understanding of the convergence between Generative AI, Quantum Computing, and Human-Centric Design. Join us in building the infrastructure for a smarter, more equitable digital world.
Responsibilities
- Strategic Roadmapping: Develop and execute a comprehensive technology roadmap for 2026, identifying emerging trends in Artificial General Intelligence (AGI) and autonomous systems.
- Research & Development: Lead cross-functional teams in prototype development, testing novel algorithms that push the boundaries of current neural network architectures.
- Ethical Framework Implementation: Establish and enforce rigorous ethical guidelines for AI deployment, ensuring transparency, fairness, and safety in all future technologies.
- Stakeholder Communication: Translate complex technical concepts into compelling narratives for C-suite executives, investors, and industry partners to secure funding and support.
- Partnership Management: Cultivate relationships with academic institutions and tech pioneers to stay ahead of the curve on breakthrough discoveries.
- Future-Proofing: Continuously assess market shifts and regulatory changes to ensure our products remain compliant and competitive in the rapidly evolving landscape of 2026.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Cognitive Science, or a related field.
- Experience: 8+ years of experience in a senior technical or strategic role, with a proven track record in AI strategy, product management, or engineering leadership.
- Technical Expertise: Deep understanding of Large Language Models (LLMs), neural networks, and the foundational principles of Quantum Computing.
- Strategic Vision: Demonstrated ability to foresee industry trends and translate them into actionable business strategies.
- Leadership: Exceptional interpersonal and communication skills, with the ability to mentor diverse teams and drive high-performance culture.
- Problem Solving: Strong analytical mindset with a focus on solving complex, multi-disciplinary problems.