Job Description
Are you ready to architect the innovations that will define the year 2026? Horizon AI Labs is seeking a visionary Future Tech Architect to lead our research into next-generation autonomous systems and generative intelligence. In this role, you won't just use existing tools; you will design the foundational architectures that will power the enterprise landscape of tomorrow.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to bridge the gap between theoretical AI breakthroughs and scalable production systems. This is a unique opportunity to set the standard for AI infrastructure in the coming decade.
Responsibilities
- Design and prototype cutting-edge autonomous AI agents capable of complex decision-making for the 2026 market.
- Lead research initiatives in large language model (LLM) fine-tuning and reinforcement learning from human feedback (RLHF).
- Architect scalable infrastructure for multimodal AI systems, integrating text, vision, and spatial data.
- Collaborate with product engineering teams to integrate predictive AI models into core platforms.
- Establish best practices for ethical AI, data privacy, and algorithmic transparency.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 5+ years of experience in software engineering and applied machine learning.
- Deep proficiency in Python, PyTorch, or TensorFlow with a focus on research implementation.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or leading internal research breakthroughs.
- Strong understanding of transformer architectures, diffusion models, and distributed systems.