Job Description
We are Nexus Horizon, a pioneering research lab redefining the boundaries of artificial general intelligence for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and deployment of next-generation multimodal generative models. If you are obsessed with the future of autonomous agents and scalable neural architectures, this is your chance to shape the digital infrastructure of tomorrow.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI systems are not only powerful but also ethical, efficient, and robust. Join a team of elite engineers, ethicists, and futurists in the heart of Silicon Valley.
Why Join Nexus Horizon?
- Work on cutting-edge Generative AI and Autonomous Systems.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with premium San Francisco office access.
- Access to the latest hardware and compute infrastructure.
Responsibilities
- Architect and lead the development of proprietary large language models (LLMs) and vision-language systems.
- Design scalable inference pipelines and training infrastructure to handle petabyte-scale data.
- Collaborate with cross-functional teams to integrate AI agents into enterprise ecosystems.
- Define technical roadmaps for AI capabilities, focusing on safety, alignment, and explainability.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Research and prototype novel architectures to push the state-of-the-art in AI reasoning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in machine learning, deep learning, or software engineering.
- Proven expertise in training and deploying large-scale models (e.g., GPT, LLaMA, or custom architectures).
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong understanding of Reinforcement Learning from Human Feedback (RLHF) and AI alignment.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).