Job Description
Architect the Next Era of Intelligence
Nexus Horizon Labs is pioneering the technological leap toward 2026. We are seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI systems. If you are passionate about pushing the boundaries of what is possible with Large Language Models and autonomous agents, we want to hear from you.
In this role, you will not just build code; you will define the architecture that powers the intelligent workforce of the future.
Responsibilities
- Strategic AI Architecture: Design and oversee the implementation of scalable, high-performance machine learning infrastructure tailored for 2026 computing standards.
- Model Development: Spearhead the research, training, and fine-tuning of proprietary Large Language Models (LLMs) to enhance reasoning capabilities.
- System Optimization: Drive performance optimization and efficiency improvements in deep learning frameworks and neural networks.
- MLOps Leadership: Build robust continuous integration and deployment pipelines for AI models, ensuring seamless integration into production environments.
- Research Translation: Bridge the gap between theoretical AI research and practical, production-grade engineering solutions.
- Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and transparency in automated decision-making systems.
Qualifications
- Expertise: 7+ years of experience in Artificial Intelligence, Machine Learning, or Deep Learning, with at least 3 years in a leadership or architect role.
- Technical Mastery: Proficiency in Python, PyTorch, TensorFlow, and CUDA; hands-on experience with distributed training and inference.
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Cloud Native: Strong understanding of cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
- Innovation: Demonstrated ability to publish research papers or deliver innovative solutions in NLP, Computer Vision, or Reinforcement Learning.