Job Description
We are building the cognitive infrastructure for the year 2026. Nexus Horizon Labs is seeking a visionary Lead AI Architect to define the trajectory of our autonomous agent ecosystem and next-generation generative models.
In this role, you will not just deploy existing models; you will architect the future of reasoning, scalability, and human-AI collaboration. We are looking for a technical leader who thrives in ambiguity and possesses the foresight to build systems that are ready for the rapid evolution of Artificial General Intelligence.
If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and autonomous systems, this is your opportunity to shape the industry standard.
Responsibilities
- Define the 2026 Vision: Lead the technical roadmap for AGI readiness, focusing on autonomous agent orchestration and multi-modal reasoning systems.
- System Architecture: Design and implement high-performance, fault-tolerant inference pipelines capable of handling enterprise-scale throughput.
- Model Innovation: Spearhead research initiatives in fine-tuning proprietary models and optimizing Retrieval-Augmented Generation (RAG) architectures.
- Team Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- Performance Optimization: Drive initiatives to reduce latency and improve token efficiency for real-time generative applications.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in software engineering with a specialized focus on Machine Learning and AI systems.
- Deep expertise in Python, PyTorch, and modern Deep Learning frameworks.
- Proven experience deploying and managing MLOps pipelines for production-grade LLMs.
- Strong understanding of transformer architectures, attention mechanisms, and vector databases.