Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Lead Futurist & AI Readiness Architect to spearhead our transition into the next era of digital innovation. In this high-impact role, you will bridge the gap between emerging AI trends and our core infrastructure, ensuring our platforms are not just current, but future-proofed for the year 2026 and beyond.
We are looking for a thought leader who doesn't just adapt to change but architects it. You will work alongside our engineering teams to integrate Generative AI, Spatial Computing, and Quantum-ready protocols into our production environment. If you thrive in ambiguity and are passionate about building the systems of tomorrow, this is your opportunity to lead.
Responsibilities
- Define the comprehensive technology roadmap for 2026, identifying key emerging tech stacks and integration points.
- Lead the integration of advanced AI agents and Large Language Models into our customer-facing platforms to enhance user experience.
- Architect scalable, resilient systems capable of handling next-generation data loads and real-time processing requirements.
- Conduct rigorous risk assessments on legacy systems to ensure a seamless, zero-downtime transition to cloud-native architectures.
- Collaborate with product teams to prototype and validate futuristic user interfaces, including spatial computing applications.
- Establish best practices for AI ethics, security, and compliance in preparation for 2026 regulatory standards.
Qualifications
- 10+ years of experience in software architecture, with a specific focus on AI and machine learning integration.
- Proven track record of leading digital transformations in high-growth tech environments and delivering future-state roadmaps.
- Deep understanding of Generative AI models, LLMs, vector databases, and prompt engineering architectures.
- Experience with Spatial Computing (AR/VR), Web3, or edge computing technologies is a major plus.
- Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related field preferred.